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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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SCIE","scie",[919,813],"SCIE","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=0020-3157",[922],"a8ba2ff8-7a94-43da-936b-fea740ae9de1",{"id":924,"indexDatabase":925,"url":930,"indexYears":931,"academicFieldIds":932,"indexDatabaseRanking":934},"0e1a7347-463f-4a92-8c08-09bf38ce1230",{"id":786,"createTime":28,"updateTime":28,"relativeEntities":926,"label":927,"description":928,"key":792,"publicationTags":929,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],"https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F23213","1949-1957,1959-2025",[933],"b63de939-dadd-4939-b5dc-10282f8b39be","SCOPUS__Q3",{"impactFactor":32,"impactFactorByYear":936,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":937,"totalCitation":32,"totalCitationByYear":938,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":939,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"meta":941,"data":943},{"total":942},"2016",[944,1032,1128,1222,1305,1388,1472,1555,1653,1764],{"id":945,"createTime":946,"updateTime":947,"relativeEntities":948,"slug":949,"properties":950,"entityType":959,"verifyStatus":26,"verifyTime":947,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":961,"fullTextUrl":28,"authors":962,"publicationType":979,"publisherRelationship":980,"citationCount":28,"citationInfo":28,"publishDate":1028,"publishYear":1029,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1030,"openAccess":28,"references":28,"isForceReanalyzing":1031},"00078c14-03c6-49e9-9d06-5a11cd0372de","2024-01-25T11:21:02.155+00:00","2025-01-17T09:56:54.034+00:00",[],"Uniform-asymptotic-joint-normality-of-sample-quantities-in-censored-cases",{"abstract":951,"title":953,"references":955,"doi":957},{"EN":952},"The asymptotic joint distribution of an increasing number of sample quantiles as the sample size increases, when the underlying sample is censored, is shown to be asymptotically uniformly (or type (B)\n                  d\n                ) normally distributed under fairly general conditions. The discussions for uncensored cases have been given by [4].",{"EN":954},"Uniform asymptotic joint normality of sample quantities in censored cases",{"VOID":956},"Ikeda, S. (1963). Asymptotic equivalence of probability distributions with applications to some problems of asymptotic independence,Ann. Inst. Statist. Math. 15, 87–116.\nIkeda, S. (1968). Asymptotic equivalence of real probability distributions,Ann. Inst. Statist. Math.,20, 339–416.\nIkeda, S. and Matsunawa, T. (1970). On asymptotic independence of order statistics,Ann. Inst. Statist. Math.,22, 435–449.\nIkeda, S. and Matsunawa, T. (1972) On the uniform asymptotic joint normality of sample quantiles,Ann. Inst. Statist. Math.,24, 33–52.\nOkamoto, M. (1958). Some inequalities relating to the partial sum of binomial probabilities,Ann. Inst. Statist. Math.,10, 29–35.\nWilks, S. S. (1962).Mathematical Statistics, 2nd ed., p. 63, John Wiley & Sons, Inc.",{"VOID":958},"10.1007\u002FBF02479373","PUBLICATION","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF02479373",[963],{"id":964,"sortIndex":32,"researcher":28,"roles":965,"affiliations":967,"properties":976,"displayName":978,"givenName":28,"familyName":28},"0c35ef94-d9cb-4d4e-a9f1-6fedea485369",[966],"AUTHOR",[968],{"id":969,"sortIndex":32,"affiliation":970,"properties":28},"c54b0145-4030-408d-aef4-54f11e477361",{"id":969,"createTime":28,"updateTime":28,"relativeEntities":971,"slug":28,"properties":972,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":975,"statistic":28},[],{"title":973},{"VI":974},"Kagawa University, Kagawa, Japan",[],{"title":977},{"VI":978},"Tadashi Matsunawa","ARTICLE",{"url":961,"publisher":981,"properties":1023},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":982,"slug":872,"properties":983,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":987,"manageAffiliations":992,"indexDatabases":1003,"url":28,"thumbnailPath":28,"statistic":1018,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":984,"title":985,"eissn":986},{"VOID":877},{"EN":879},{"VOID":875},[988],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":989,"label":990,"description":991,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[993,998],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":994,"slug":28,"properties":995,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":997,"statistic":28},[],{"title":996},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":999,"slug":28,"properties":1000,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1002,"statistic":28},[],{"title":1001},{"EN":904},[898],[1004,1011],{"id":908,"indexDatabase":1005,"url":920,"indexYears":28,"academicFieldIds":1010,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1006,"label":1007,"description":1008,"key":917,"publicationTags":1009,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1012,"url":930,"indexYears":931,"academicFieldIds":1017,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1013,"label":1014,"description":1015,"key":792,"publicationTags":1016,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1019,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1020,"totalCitation":32,"totalCitationByYear":1021,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1022,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1024,"volume":1026},{"VOID":1025},"261-278",{"VOID":1027},"25","1973-12-01",1973,[934,919],false,{"id":1033,"createTime":1034,"updateTime":1035,"relativeEntities":1036,"slug":1037,"properties":1038,"entityType":959,"verifyStatus":26,"verifyTime":1035,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1047,"fullTextUrl":28,"authors":1048,"publicationType":979,"publisherRelationship":1077,"citationCount":28,"citationInfo":28,"publishDate":1125,"publishYear":1126,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1127,"openAccess":28,"references":28,"isForceReanalyzing":1031},"003bcc21-9476-4cd0-8580-2743c265152b","2024-01-10T00:50:42.388+00:00","2024-12-09T09:32:10.167+00:00",[],"Inference-using-an-exact-distribution-of-test-statistic-for-random-effects-meta-analysis",{"abstract":1039,"title":1041,"references":1043,"doi":1045},{"EN":1040},"Random-effects meta-analysis serves to integrate the results of multiple studies with methods such as moment estimation and likelihood estimation duly proposed. These existing methods are based on asymptotic normality with respect to the number of studies. However, the test and interval estimation deviate from the nominal significance level when integrating a small number of studies. Although a method for constructing more conservative intervals has been recently proposed, the exact distribution of test statistic for the overall treatment effect is not well known. In this paper, we provide an almost-exact distribution of the test statistic in random-effects meta-analysis and propose the test and interval estimation using the almost-exact distribution. Simulations demonstrate the accuracy of estimation and application to existing meta-analysis using the method proposed here. With known variance parameters, the estimation performance using the almost-exact distribution always achieves the nominal significance level regardless of the number of studies and heterogeneity. We also propose some methods to construct a conservative interval estimation, even when the variance parameters are unknown, and present their performances via simulation and an application to Alzheimer’s disease meta-analysis.",{"EN":1042},"Inference using an exact distribution of test statistic for random-effects meta-analysis",{"VOID":1044},"Akkouchi, M. (2005). On the convolution of gamma distributions. Soochow Journal of Mathematics, 31, 205–211.\nBiggerstaff, B., Jackson, D. (2008). The exact distribution of Cochran’s heterogeneity statistic in one-way random effects meta-analysis. Statistics in Medicine, 27, 6093–6110.\nBox, G. (1954). Some theorems on quadratic forms applied in the study of analysis of variance problems, I. Effect of inequality of variance in the one-way classification. The Annals of Mathematical Statistics, 25, 290–302.\nChen, R., Chan, P., Chu, H. (2017). Treatment effects between monotherapy of donepezil versus combination with memantine for alzheimer disease: A meta-analysis. PLOS ONE, 12, 1–14.\nCornell, J., Mulrow, C., Localio, R. (2014). Random-effects meta-analysis of inconsistent effects: A time for change. Annals of Internal Medicine, 160, 267–270.\nDerSimonian, R., Kacker, R. (2007). Random-effects model for meta-analysis of clinical trials: An update. Contemporary Clinical Trials, 28, 105–114.\nDerSimonian, R., Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7, 177–188.\nFollmann, D., Proschan, M. (1999). Valid inference in random effects meta-analysis. Biometrics, 55, 732–737.\nHardy, R., Thompson, S. (1996). A likelihood approach to meta-analysis with random effects. Statistics in Medicine, 15, 619–629.\nHartung, J. (1999). An alternative method for meta-analysis. Biometrical Journal, 41, 901–916.\nHiggins, J., Thompson, S. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539–1558.\nImhof, J. (1961). Computing the distribution of quadratic forms in normal variables. Biometrika, 48, 419–426.\nJackson, D., Bowden, J., Baker, R. (2010). How does the dersimonian and laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts? Journal of Statistical Planning and Inference, 140, 961–970.\nKnapp, G., Hartung, J. (2003). Improved tests for a random effects meta-regression with a single covariate. Statistics in Medicine, 22, 2693–2710.\nLi, M., Liu, Y., Li, P. (2022). Empirical likelihood meta-analysis with publication bias correction under Copas-like selection model. Annals of the Institute of Statistical Mathematics, 74(1), 93–112.\nMichael, H., Thornton, S., Xie, M. (2019). Exact inference on the random-effects model for meta-analyses with few studies. Biometrics, 75, 485–493.\nNoma, H., Nagashima, K., Furukawa, T. (2020). Permutation inference methods for multivariate meta-analysis. Biometrics, 76, 337–347.\nPaule, R., Mandel, J. (1982). Consensus values and weighting factors. Journal of Research of the National Bureau of Standards, 87, 377–385.\nRover, C., Knapp, G., Friede, T. (2015). Hartung-knapp-sidik-jonkman approach and its modification for random-effects meta-analysis with few studies. BMC medical research methodology, 15, 99.\nSanchez-Meca, J., Marin-Martinez, F. (2008). Confidence intervals for the overall effect size in random-effects meta-analysis. Psychological Methods, 13, 31–48.\nStijnen, T., Hamza, T., Ozdemir, P. (2010). Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data. Statistics in Medicine, 29, 3046–3067.\nThompson, S., Sharp, S. (1999). Explaining heterogeneity in meta-analysis: A comparison of methods. Statistics in Medicine, 18, 2693–2708.\nWhitehead, A., Whitehead, J. (1991). A general parametric approach to the meta-analysis of randomized clinical trials. Statistics in Medicine, 10, 1665–1677.",{"VOID":1046},"10.1007\u002Fs10463-022-00844-4","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10463-022-00844-4",[1049,1064],{"id":1050,"sortIndex":32,"researcher":28,"roles":1051,"affiliations":1052,"properties":1061,"displayName":1063,"givenName":28,"familyName":28},"c3fd8d0b-b2c4-4e87-a826-9baf67487e2c",[966],[1053],{"id":1054,"sortIndex":32,"affiliation":1055,"properties":28},"3b56c923-9c10-42a1-8ce0-ebe3aacb6978",{"id":1054,"createTime":28,"updateTime":28,"relativeEntities":1056,"slug":28,"properties":1057,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1060,"statistic":28},[],{"title":1058},{"VI":1059},"Graduate School of Data Science, Shiga University, Hikone, Japan",[],{"title":1062},{"VI":1063},"Keisuke Hanada",{"id":1065,"sortIndex":40,"researcher":28,"roles":1066,"affiliations":1067,"properties":1074,"displayName":1076,"givenName":28,"familyName":28},"8e596408-a4c8-49f0-9d84-251532c66ed3",[966],[1068],{"id":1054,"sortIndex":32,"affiliation":1069,"properties":28},{"id":1054,"createTime":28,"updateTime":28,"relativeEntities":1070,"slug":28,"properties":1071,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1073,"statistic":28},[],{"title":1072},{"VI":1059},[],{"title":1075},{"VI":1076},"Tomoyuki Sugimoto",{"url":1047,"publisher":1078,"properties":1120},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1079,"slug":872,"properties":1080,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1084,"manageAffiliations":1089,"indexDatabases":1100,"url":28,"thumbnailPath":28,"statistic":1115,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1081,"title":1082,"eissn":1083},{"VOID":877},{"EN":879},{"VOID":875},[1085],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1086,"label":1087,"description":1088,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1090,1095],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1091,"slug":28,"properties":1092,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1094,"statistic":28},[],{"title":1093},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1096,"slug":28,"properties":1097,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1099,"statistic":28},[],{"title":1098},{"EN":904},[898],[1101,1108],{"id":908,"indexDatabase":1102,"url":920,"indexYears":28,"academicFieldIds":1107,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1103,"label":1104,"description":1105,"key":917,"publicationTags":1106,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1109,"url":930,"indexYears":931,"academicFieldIds":1114,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1110,"label":1111,"description":1112,"key":792,"publicationTags":1113,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1116,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1117,"totalCitation":32,"totalCitationByYear":1118,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1119,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1121,"volume":1123},{"VOID":1122},"281-302",{"VOID":1124},"75","2022-07-26",2022,[934,919],{"id":1129,"createTime":1130,"updateTime":1131,"relativeEntities":1132,"slug":1133,"properties":1134,"entityType":959,"verifyStatus":26,"verifyTime":1131,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":40,"primaryUrl":1143,"fullTextUrl":28,"authors":1144,"publicationType":979,"publisherRelationship":1173,"citationCount":28,"citationInfo":28,"publishDate":1219,"publishYear":1220,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1221,"openAccess":28,"references":28,"isForceReanalyzing":1031},"0044280b-ad8b-421b-b153-8803f95a0cb5","2023-12-08T15:29:13.080+00:00","2025-02-20T10:56:19.926+00:00",[],"A-tuning-free-efficient-test-for-marginal-linear-effects-in-high-dimensional-quantile-regression",{"abstract":1135,"title":1137,"references":1139,"doi":1141},{"EN":1136},"This work is concerned with testing the marginal linear effects of high-dimensional predictors in quantile regression. We introduce a novel test that is constructed using maxima of pairwise quantile correlations, which permit consistent assessment of the marginal linear effects. The proposed testing procedure is computationally efficient with the aid of a simple multiplier bootstrap method and does not involve any need to select tuning parameters, apart from the number of bootstrap replications. Other distinguishing features of the new procedure are that it imposes no structural assumptions on the unknown dependence structures of the predictor vector and allows the dimension of the predictor vector to be exponentially larger than sample size. To broaden the applicability, we further extend the preceding analysis to the censored response case. The effectiveness of our proposed approach in the finite samples is illustrated through simulation studies.",{"EN":1138},"A tuning-free efficient test for marginal linear effects in high-dimensional quantile regression",{"VOID":1140},"Arias-Castro, E., Candès, E. J., Plan, Y. (2011). Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism. The Annals of Statistics, 39, 2533–2556.\nBelloni, A., Chernozhukov, V., Kato, K. (2015). Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems. Biometrika, 102, 77–94.\nCai, T. T., Liu, W., Xia, Y. (2014). Two-sample test of high dimensional means under dependence. Journal of the Royal Statistical Society, Series B, 76, 349–372.\nChernozhukov, V., Chetverikov, D., Kato, K. (2013). Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors. The Annals of Statistics, 41, 2786–2819.\nChernozhukov, V., Chetverikov, D., Kato, K. (2015). Comparison and anti-concentration bounds for maxima of Gaussian random vectors. Probability Theory and Related Fields, 162, 47–70.\nChernozhukov, V., Chetverikov, D., Kato, K. (2017). Central limit theorems and bootstrap in high dimensions. The Annals of Probability, 45, 2309–2352.\nConde-Amboage, M., Sánchez-Sellero, C., González-Manteiga, W. (2015). A lack-of-fit test for quantile regression models with high-dimensional covariates. Computational Statistics and Data Analysis, 88, 128–138.\nEinmahl, U., Li, D. (2008). Characterization of lil behavior in Banach space. Transactions of the American Mathematical Society 360, 6677–6693.\nEscanciano, J. C. (2006). A consistent diagnostic test for regression models using projections. Econometric Theory, 22, 1030–1051.\nHall, P., Jin, J. (2010). Innovated higher criticism for detecting sparse signals in correlated noise. The Annals of Statistics, 38, 1686–1732.\nHall, P., Sheather, S. J. (1988). On the distribution of a studentized quantile. Journal of the Royal Statistical Society, Series B, 50, 381–391.\nHe, X., Zhu, L. (2003). A lack-of-fit test for quantile regression. Journal of the American Statistical Association, 98, 1013–1022.\nHe, X., Wang, L., Hong, H. G. (2013). Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data. The Annals of Statistics, 41, 342–369.\nIngster, Y. I., Tsybakov, A. B., Verzelen, N. (2010). Detection boundary in sparse regression. Electronic Journal of Statistics, 4, 1476–1526.\nJavanmard, A., Montanari, A. (2014). Confidence intervals and hypothesis testing for high-dimensional regression. Journal of Machine Learning Research, 15, 2869–2909.\nKoenker, R. (2005).Quantile regression, Cambridge University Press, New York).\nKoenker, R., Bassett, G. (1978). Regression quantiles. Econometrica, 46, 33–50.\nLi, G., Li, Y., Tsai, C. L. (2015). Quantile correlations and quantile autoregressive modeling. Journal of the American Statistical Association, 110, 246–261.\nLiu, W., Shao, Q. (2013). A Cramér moderate deviation theorem for Hotelling’s \\(T^2\\)-statistic with applications to global tests. The Annals of Statistics, 41, 296–322.\nLiu, W., Lin, Z., Shao, Q. (2008). The asymptotic distribution and Berry-Esseen bound of a new test for independence in high dimension with an application to stochastic optimization. The Annals of Applied Probability, 18, 2337–2366.\nMcKeague, I. W., Qian, M. (2015). An adaptive resampling test for detecting the presence of significant predictors. Journal of the American Statistical Association, 110, 1422–1433.\nPortnoy, S. (2003). Censored regression quantiles. Journal of the American Statistical Association, 98, 1001–1012.\nShao, X., Zhang, J. (2014). Martingale difference correlation and its use in high-dimensional variable screening. Journal of the American Statistical Association, 109, 1302–1318.\nStute, W. (1997). Nonparametric model checks for regression. The Annals of Statistics, 25, 613–641.\nSu, L., Zheng, X. (2017). A martingale-difference-divergence-based test for specification. Economics Letters, 156, 162–167.\nvan de Geer, S., Bühlmann, P., Ritov, Y., Dezeure, R. (2014). On asymptotically optimal confidence regions and tests for high-dimensional models. The Annals of Statistics, 42, 1166–1202.\nWang, H. J., Wang, L. (2009). Locally weighted censored quantile regression. Journal of the American Statistical Association, 104, 1117–1128.\nWang, H. J., McKeague, I. W., Qian, M. (2018). Testing for marginal linear effects in quantile regression. Journal of the Royal Statistical Society: Series B, 80, 433–452.\nXu, K., Chen, F. (2020). Martingale-difference-divergence-based tests for goodness-of-fit in quantile models. Journal of Statistical Planning and Inference, 207, 138–154.\nZheng, J. X. (1996). A consistent test of functional form via nonparametric estimation technique. Journal of Econometrics, 75, 263–289.\nZheng, J. X. (1998). A consistent nonparametric test of parametric regression models under conditional quantile restrictions. Econometric Theory, 14, 123–138.\nZhang, X., Yao, S., Shao, X. (2018). Conditional mean and quantile dependence testing in high dimension. The Annals of Statistics, 46, 219–246.",{"VOID":1142},"10.1007\u002Fs10463-023-00877-3","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10463-023-00877-3",[1145,1160],{"id":1146,"sortIndex":32,"researcher":28,"roles":1147,"affiliations":1148,"properties":1157,"displayName":1159,"givenName":28,"familyName":28},"18da43fd-d929-42d4-b097-f9447fedc4c0",[966],[1149],{"id":1150,"sortIndex":32,"affiliation":1151,"properties":28},"005072fa-a7fb-400e-b742-4271f49cc2df",{"id":1150,"createTime":28,"updateTime":28,"relativeEntities":1152,"slug":28,"properties":1153,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1156,"statistic":28},[],{"title":1154},{"VI":1155},"School of Mathematics and Statistics, Anhui Normal University, Wuhu, China",[],{"title":1158},{"VI":1159},"Kai Xu",{"id":1161,"sortIndex":40,"researcher":28,"roles":1162,"affiliations":1163,"properties":1170,"displayName":1172,"givenName":28,"familyName":28},"85916a27-f6d2-41d2-80ba-117971e8dc05",[966],[1164],{"id":1150,"sortIndex":32,"affiliation":1165,"properties":28},{"id":1150,"createTime":28,"updateTime":28,"relativeEntities":1166,"slug":28,"properties":1167,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1169,"statistic":28},[],{"title":1168},{"VI":1155},[],{"title":1171},{"VI":1172},"Nan An",{"url":1143,"publisher":1174,"properties":1216},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1175,"slug":872,"properties":1176,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1180,"manageAffiliations":1185,"indexDatabases":1196,"url":28,"thumbnailPath":28,"statistic":1211,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1177,"title":1178,"eissn":1179},{"VOID":877},{"EN":879},{"VOID":875},[1181],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1182,"label":1183,"description":1184,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1186,1191],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1187,"slug":28,"properties":1188,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1190,"statistic":28},[],{"title":1189},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1192,"slug":28,"properties":1193,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1195,"statistic":28},[],{"title":1194},{"EN":904},[898],[1197,1204],{"id":908,"indexDatabase":1198,"url":920,"indexYears":28,"academicFieldIds":1203,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1199,"label":1200,"description":1201,"key":917,"publicationTags":1202,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1205,"url":930,"indexYears":931,"academicFieldIds":1210,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1206,"label":1207,"description":1208,"key":792,"publicationTags":1209,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1212,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1213,"totalCitation":32,"totalCitationByYear":1214,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1215,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1217},{"VOID":1218},"1-18","2023-07-18",2023,[934,919],{"id":1223,"createTime":1224,"updateTime":1225,"relativeEntities":1226,"slug":1227,"properties":1228,"entityType":959,"verifyStatus":26,"verifyTime":1225,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1237,"fullTextUrl":28,"authors":1238,"publicationType":979,"publisherRelationship":1254,"citationCount":28,"citationInfo":28,"publishDate":1302,"publishYear":1303,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1304,"openAccess":28,"references":28,"isForceReanalyzing":1031},"00715053-2b66-4244-aeff-3f530ca72153","2024-01-22T21:52:20.392+00:00","2025-02-16T11:49:36.100+00:00",[],"Approximations-to-the-distributions-of-ordered-distance-random-variables",{"abstract":1229,"title":1231,"references":1233,"doi":1235},{"EN":1230},"In the present note we give short proofs of asymptotic theorems for the distributions of extreme and intermediate ordered distance random variables. Moreover, a quick goodness-of-fit test is proposed which is based on a single intermediate ordered distance random variable.",{"EN":1232},"Approximations to the distributions of ordered distance random variables",{"VOID":1234},"Dziubziella, W. (1976). A note on thekth distance random variables,Zastosowania Matematykai,15, 289–291.\nFloret, K. (1981). Maß- und Integrationstheorie,Teubner, Stuttgart.\nGalambos, J. (1978).The Asymptotic Theory of Extreme Order Statistics, Wiley, New York.\nHall, P. (1983). On near neighbour estimates of a multivariate density,J. Mult. Analysis,13, 24–39.\nHenze, N. (1982). The limit distribution for maxima of ‘weighted’rth-nearest-neighbourhood distances,J. Appl. Prob.,19, 344–354.\nMammitzsch, V. (1983). On thekth ordered distance random variables,Proceedings of the Third Prague Conference on Asymptotic Statistics (to appear).\nMatsunawa, T. and Ikeda, S. (1976). Uniform asymptotic distributions of extremes. In: Essays in Probability and Statistics (ed. Ikeda et al), Shinko Tsushi, Tokyo, 419–432.\nReiss, R.-D. (1981). Uniform approximation to distributions of extreme order statistics,Adv. Appl. Prob.,13, 533–547.",{"VOID":1236},"10.1007\u002FBF02481121","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF02481121",[1239],{"id":1240,"sortIndex":32,"researcher":28,"roles":1241,"affiliations":1242,"properties":1251,"displayName":1253,"givenName":28,"familyName":28},"2af973d9-a0d0-4d77-97e1-09d2dab1b4a0",[966],[1243],{"id":1244,"sortIndex":32,"affiliation":1245,"properties":28},"194f7dfc-0c5b-4d4f-b332-1558c10e8ad8",{"id":1244,"createTime":28,"updateTime":28,"relativeEntities":1246,"slug":28,"properties":1247,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1250,"statistic":28},[],{"title":1248},{"EN":1249},"University of Siegen, Germany",[],{"title":1252},{"VI":1253},"R. -D. Reiss",{"url":1237,"publisher":1255,"properties":1297},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1256,"slug":872,"properties":1257,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1261,"manageAffiliations":1266,"indexDatabases":1277,"url":28,"thumbnailPath":28,"statistic":1292,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1258,"title":1259,"eissn":1260},{"VOID":877},{"EN":879},{"VOID":875},[1262],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1263,"label":1264,"description":1265,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1267,1272],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1268,"slug":28,"properties":1269,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1271,"statistic":28},[],{"title":1270},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1273,"slug":28,"properties":1274,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1276,"statistic":28},[],{"title":1275},{"EN":904},[898],[1278,1285],{"id":908,"indexDatabase":1279,"url":920,"indexYears":28,"academicFieldIds":1284,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1280,"label":1281,"description":1282,"key":917,"publicationTags":1283,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1286,"url":930,"indexYears":931,"academicFieldIds":1291,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1287,"label":1288,"description":1289,"key":792,"publicationTags":1290,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1293,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1294,"totalCitation":32,"totalCitationByYear":1295,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1296,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1298,"volume":1300},{"VOID":1299},"529-533",{"VOID":1301},"37","1985-12-01",1985,[934,919],{"id":1306,"createTime":1307,"updateTime":1308,"relativeEntities":1309,"slug":1310,"properties":1311,"entityType":959,"verifyStatus":26,"verifyTime":1308,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1320,"fullTextUrl":28,"authors":1321,"publicationType":979,"publisherRelationship":1337,"citationCount":28,"citationInfo":28,"publishDate":1385,"publishYear":1386,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1387,"openAccess":28,"references":28,"isForceReanalyzing":1031},"00773bc6-f8f8-4bdc-8f8e-28635bcc142e","2023-12-27T16:41:43.137+00:00","2024-12-25T23:36:15.612+00:00",[],"Discrete-semi-stable-distributions",{"abstract":1312,"title":1314,"references":1316,"doi":1318},{"EN":1313},"The purpose of this paper is to introduce and study the concepts of discrete semi-stability and geometric semi-stability for distributions with support inZ\n                +. We offer several properties, including characterizations, of discrete semi-stable distributions. We establish that these distributions posses the property of infinite divisibility and that their probability generating functions admit canonical representations that are analogous to those of their continuous counterparts. Properties of discrete geometric semi-stable distributions are deduced from the results obtained for discrete semi-stability. Several limit theorems are established and some examples are constructed.",{"EN":1315},"Discrete semi-stable distributions",{"VOID":1317},"Aly, E. E. and Bouzar, N. (2000). On geometric infinite divisibility and stability,Annals of the Institute of Statistical Mathematics,52, 790–799.\nBouzar, N. (1999). On geometric stability and Poisson mixtures,Illinois Journal of Mathematics,43, 520–527.\nFeller, W. (1968).An Introduction to Probability Theory and Its Applications, Vol. I, 3rd ed., John Wiley and Sons, New York, London, Sydney.\nFeller, W. (1971).An Introduction to Probability Theory and Its Applications, Vol. II, 2nd ed., John Wiley and Sons, New York, London, Sydney.\nGnedenko, B. V. and Korolev, V. Y. (1996).Random Summation: Limit Theorems and Applications, CRC Press, Boca Raton, New York, London, Tokyo.\nJayakumar, K. (1995). The stationary solution of a first order integer-valued autoregressive process,Statistica,55, 221–228.\nKlebanov, L. B., Maniya, G. M. and Melamed, I. A. (1984). A problem of Zolotarev and analogs of infinitely divisible and stable distributions in a scheme for summing a random number of random variables,Theory of Probability and Its Applications,29, 791–794.\nLévy, P. (1937).Theorie de l’Addition des Variables Aléatories, Gauthier-Villars, Paris.\nPillai, R. N. (1971). Semi stable laws as limit distributions,Annals of Mathematical Statistics,42, 780–783.\nPillai, R. N. (1985). Semi-α-Laplace distributions,Communications in Statistics-Theory and Methods,14, 991–1000.\nSteutel, F. W. (1970). Preservation of infinite divisibility under mixing,Mathematical Centre Tract,33, Mathematisch Centrum, Amsterdam.\nSteutel, F. W. and van Harn, K. (1979). Discrete analogues of self-decomposability and stability,Annals of Probability,7, 893–899.\nvan Harn, K. and Steutel, F. W. (1993). Stability equations for processes with stationary independent increments using branching processes and Poisson mixtures,Stochastic Processes and Their Applications,45, 209–230.\nvan Harn, K., Steutel, F. W. and Vervaat, W. (1982). Self-decomposable discrete distributions and branching processes,Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete,61, 97–118.\nVervaat, W. (1979). On a stochastic difference equation and a representation of non-negative infinitely divisible random variables,Advances in Applied Probability,11, 750–783.",{"VOID":1319},"10.1007\u002FBF02530538","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF02530538",[1322],{"id":1323,"sortIndex":32,"researcher":28,"roles":1324,"affiliations":1325,"properties":1334,"displayName":1336,"givenName":28,"familyName":28},"476dc3f2-0353-48ae-8bb9-411dc7a510b9",[966],[1326],{"id":1327,"sortIndex":32,"affiliation":1328,"properties":28},"10b8d4e6-e357-4418-b447-c5c8159f1e81",{"id":1327,"createTime":28,"updateTime":28,"relativeEntities":1329,"slug":28,"properties":1330,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1333,"statistic":28},[],{"title":1331},{"VI":1332},"Department of Mathematics and Computer Science, University of Indianapolis, Indianapolis, USA",[],{"title":1335},{"VI":1336},"Nadjib Bouzar",{"url":1320,"publisher":1338,"properties":1380},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1339,"slug":872,"properties":1340,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1344,"manageAffiliations":1349,"indexDatabases":1360,"url":28,"thumbnailPath":28,"statistic":1375,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1341,"title":1342,"eissn":1343},{"VOID":877},{"EN":879},{"VOID":875},[1345],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1346,"label":1347,"description":1348,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1350,1355],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1351,"slug":28,"properties":1352,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1354,"statistic":28},[],{"title":1353},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1356,"slug":28,"properties":1357,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1359,"statistic":28},[],{"title":1358},{"EN":904},[898],[1361,1368],{"id":908,"indexDatabase":1362,"url":920,"indexYears":28,"academicFieldIds":1367,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1363,"label":1364,"description":1365,"key":917,"publicationTags":1366,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1369,"url":930,"indexYears":931,"academicFieldIds":1374,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1370,"label":1371,"description":1372,"key":792,"publicationTags":1373,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1376,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1377,"totalCitation":32,"totalCitationByYear":1378,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1379,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1381,"volume":1383},{"VOID":1382},"497-510",{"VOID":1384},"56","2004-09-01",2004,[934,919],{"id":1389,"createTime":1390,"updateTime":1391,"relativeEntities":1392,"slug":1393,"properties":1394,"entityType":959,"verifyStatus":26,"verifyTime":1403,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1404,"fullTextUrl":28,"authors":1405,"publicationType":979,"publisherRelationship":1421,"citationCount":28,"citationInfo":28,"publishDate":1469,"publishYear":1470,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1471,"openAccess":28,"references":28,"isForceReanalyzing":1031},"01173ade-14c2-480d-a57b-16689afefb09","2024-01-21T12:24:13.404+00:00","2025-01-31T16:38:34.108+00:00",[],"On-sequential-procedures-for-the-point-estimation-of-the-mean-of-a-normal-population",{"abstract":1395,"title":1397,"references":1399,"doi":1401},{"EN":1396},"The sequential procedures developed by Starr (1966, Ann. Math. Statist., 37, 1173–1185) for estimating the mean of a normal population are further analyzed. Asymptotic properties of the “regret” and first two moments of the stopping rules are studied and second-order approximations are derived.",{"EN":1398},"On sequential procedures for the point estimation of the mean of a normal population",{"VOID":1400},"Ghosh, M. and Mukhopadhyay, N. (1979). Sequential point estimation of the mean when the distribution is unspecified, Comm. Statist. A—Theory Methods, 8, 637–652.\nGhosh, M. and Mukhopadhyay, N. (1980). Sequential point estimation of the difference of two normal means, Ann. Statist., 8, 221–225.\nNagao, H. and Takada, M. (1980) On sequential point estimation of the mean of a normal distribution, Ann. Inst. Statist. Math., 32, 201–210.\nStarr, N. (1966). On the asymptotic efficiency of a sequential procedure for estimating the mean, Ann. Math. Statist., 37, 1173–1185.\nStarr, N. and Woodroofe, M. B. (1969). Remarks on sequential point estimation, Proc. Nat. Acad. Sci. U.S.A., 63, 285–288.\nWoodroofe, M. (1977). Second order approximations for sequential point and interval estimation, Ann. Statist., 5, 984–995.",{"VOID":1402},"10.1007\u002FBF00049431","2025-01-31T16:38:34.107+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF00049431",[1406],{"id":1407,"sortIndex":32,"researcher":28,"roles":1408,"affiliations":1409,"properties":1418,"displayName":1420,"givenName":28,"familyName":28},"4f865f11-3dea-49e2-a457-3748f9ff9416",[966],[1410],{"id":1411,"sortIndex":32,"affiliation":1412,"properties":28},"3ae222af-584c-40dd-80ac-75ba8d059c72",{"id":1411,"createTime":28,"updateTime":28,"relativeEntities":1413,"slug":28,"properties":1414,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1417,"statistic":28},[],{"title":1415},{"VI":1416},"Department of Statistics, Lucknow University, Lucknow, India",[],{"title":1419},{"VI":1420},"Ajit Chaturvedi",{"url":1404,"publisher":1422,"properties":1464},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1423,"slug":872,"properties":1424,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1428,"manageAffiliations":1433,"indexDatabases":1444,"url":28,"thumbnailPath":28,"statistic":1459,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1425,"title":1426,"eissn":1427},{"VOID":877},{"EN":879},{"VOID":875},[1429],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1430,"label":1431,"description":1432,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1434,1439],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1435,"slug":28,"properties":1436,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1438,"statistic":28},[],{"title":1437},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1440,"slug":28,"properties":1441,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1443,"statistic":28},[],{"title":1442},{"EN":904},[898],[1445,1452],{"id":908,"indexDatabase":1446,"url":920,"indexYears":28,"academicFieldIds":1451,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1447,"label":1448,"description":1449,"key":917,"publicationTags":1450,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1453,"url":930,"indexYears":931,"academicFieldIds":1458,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1454,"label":1455,"description":1456,"key":792,"publicationTags":1457,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1460,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1461,"totalCitation":32,"totalCitationByYear":1462,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1463,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1465,"volume":1467},{"VOID":1466},"769-783",{"VOID":1468},"40","1988-12-01",1988,[934,919],{"id":1473,"createTime":1474,"updateTime":1475,"relativeEntities":1476,"slug":1477,"properties":1478,"entityType":959,"verifyStatus":26,"verifyTime":1475,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1487,"fullTextUrl":28,"authors":1488,"publicationType":979,"publisherRelationship":1504,"citationCount":28,"citationInfo":28,"publishDate":1552,"publishYear":1553,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1554,"openAccess":28,"references":28,"isForceReanalyzing":1031},"011a1eee-8c58-452d-91db-8e5fca0cdd14","2024-01-14T13:37:20.708+00:00","2024-12-29T18:53:14.155+00:00",[],"Nonparametric-analysis-of-doubly-truncated-data",{"abstract":1479,"title":1481,"references":1483,"doi":1485},{"EN":1480},"One of the principal goals of the quasar investigations is to study luminosity evolution. A convenient one-parameter model for luminosity says that the expected log luminosity, T*, increases linearly as θ\n                        0· log(1  +  Z*), and T*(θ\n                        0) = T*  −  θ\n                        0· log(1  +  Z*) is independent of Z*, where Z* is the redshift of a quasar and θ\n                        0 is the true value of evolution parameter. Due to experimental constraints, the distribution of T* is doubly truncated to an interval (U*, V*) depending on Z*, i.e., a quadruple (T*, Z*, U*, V*) is observable only when U* ≤ T* ≤ V*. Under the one-parameter model, T*(θ\n                        0) is independent of (U*(θ\n                        0), V*(θ\n                        0)), where U*(θ\n                        0) = U*  −  θ\n                        0· log(1  +  Z*) and V*(θ\n                        0) = V*  −  θ\n                        0· log(1  +  Z*). Under this assumption, the nonparametric maximum likelihood estimate (NPMLE) of the hazard function of T*(θ\n                        0) (denoted by ĥ) was developed by Efron and Petrosian (J Am Stat Assoc 94:824–834, 1999). In this note, we present an alternative derivation of ĥ. Besides, the NPMLE of distribution function of T*(θ\n                        0), \n                  \n                    \n                  \n                  $${\\hat F}$$\n                 , will be derived through an inverse-probability-weighted (IPW) approach. Based on Theorem 3.1 of Van der Laan (1996), we prove the consistency and asymptotic normality of the NPMLE \n                  \n                    \n                  \n                  $${\\hat F}$$\n                 under certain condition. For testing the null hypothesis \n                  \n                    \n                  \n                  $${H_{\\theta_0}: T^{\\ast}(\\theta_0) = T^{\\ast}-\\theta_0\\cdot \\log(1 + Z^{\\ast})}$$\n                 is independent of Z*, (Efron and Petrosian in J Am Stat Assoc 94:824–834, 1999). proposed a truncated version of the Kendall’s tau statistic. However, when T* is exponential distributed, the testing procedure is futile. To circumvent this difficulty, a modified testing procedure is proposed. Simulations show that the proposed test works adequately for moderate sample size.",{"EN":1482},"Nonparametric analysis of doubly truncated data",{"VOID":1484},"Efron B., Petrosian V. (1999) Noparametric methods for doubly truncated data. Journal of the American Statistical Association 94: 824–834\nKaplan E.L., Meier P. (1958) Nonparametric estimation from incomplete observations. Journal of the American Statistical Association 53: 457–481\nKendall M.G. (1938) A new measure of rank correlation. Biometrika 30: 81–93\nLynden-Bell D. (1971) A method of allowing for known observational selection in small samples applied to 3CR quasars. Monograph National Royal Astronomical Society 155: 95–118\nNeuhaus G. (1971) On weak convergence of stochastic process with multidimensional time parameter. The Annals of Mathematical Statistics 42: 1285–1295\nQin J., Wang M.-C. (2001) Semiparametric analysis of truncated data. Lifetime Data Analysis 7(3): 225–242\nRobins, J. M. (1993). Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate markers. In Proceedings of the American statistical association- biopharmaceutical section, pp. 24–33. Alexaandria: ASA.\nRobins J.M., Finkelstein D. (2000) Correcting for noncompliance and dependent censoring in an AIDS clinical trial with inverse probability of censoring weighted(IPCW) log-rank tests. Biometrice 56: 779–788\nSatten G.A., Datta S. (2001) The Kaplan–Meier estimator as an inverse-probability-of-censoring weighted average. The American Statistician 55: 207–210\nShen P.-S. (2003) The product-limit estimate as an inverse-probability-weighted average. Communications in Statistics, Theory and Methods 32: 1119–1133\nTsai W.Y. (1990) Testing the assumption of independence of truncation time and failure time. Biometrika 77: 169–177\nTurnbull B.W. (1976) The empirical distribution with arbitrarily grouped, censored and truncated data. Journal of the Royal Statistical Society, Series B 38: 290–295\nVander Laan M.J. (1996) Nonparametric estimation of the bivariate survival function with truncated data. Journal of Multivariate Analysis 58: 107–131\nVander Vaart A.W. (1995) Efficiency of the infinite dimensional M-estimators. Statistica Neerlandica 49: 9–30\nvan der Vaart A.W., Wellner J.A. (1996) Weak convergence and empirical processes with application to statistics. Springer, New York\nWang M.-C. (1987) Product-limit estimates: a generalized maximum likelihood study. Communications in Statistics, Theory and Methods 6: 3117–3132\nWang M.-C. (1989) A semiparametric model for randomly truncated data. Journal of the American Statistical Assocation 84: 742–748\nWoodroofe M. (1985) Estimating a distribution function with truncated data. The Annals of Statistics 13: 163–177",{"VOID":1486},"10.1007\u002Fs10463-008-0192-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10463-008-0192-2",[1489],{"id":1490,"sortIndex":32,"researcher":28,"roles":1491,"affiliations":1492,"properties":1501,"displayName":1503,"givenName":28,"familyName":28},"bb14f490-3da1-4dd6-bc61-09a6cdf2ff61",[966],[1493],{"id":1494,"sortIndex":32,"affiliation":1495,"properties":28},"3550a505-a44d-4027-a1d3-4dd1938f0f8d",{"id":1494,"createTime":28,"updateTime":28,"relativeEntities":1496,"slug":28,"properties":1497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1500,"statistic":28},[],{"title":1498},{"VI":1499},"Department of Statistics, Tunghai University, Taichung, Taiwan",[],{"title":1502},{"VI":1503},"Pao-sheng Shen",{"url":1487,"publisher":1505,"properties":1547},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1506,"slug":872,"properties":1507,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1511,"manageAffiliations":1516,"indexDatabases":1527,"url":28,"thumbnailPath":28,"statistic":1542,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1508,"title":1509,"eissn":1510},{"VOID":877},{"EN":879},{"VOID":875},[1512],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1513,"label":1514,"description":1515,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1517,1522],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1518,"slug":28,"properties":1519,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1521,"statistic":28},[],{"title":1520},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1523,"slug":28,"properties":1524,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1526,"statistic":28},[],{"title":1525},{"EN":904},[898],[1528,1535],{"id":908,"indexDatabase":1529,"url":920,"indexYears":28,"academicFieldIds":1534,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1530,"label":1531,"description":1532,"key":917,"publicationTags":1533,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1536,"url":930,"indexYears":931,"academicFieldIds":1541,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1537,"label":1538,"description":1539,"key":792,"publicationTags":1540,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1543,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1544,"totalCitation":32,"totalCitationByYear":1545,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1546,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1548,"volume":1550},{"VOID":1549},"835-853",{"VOID":1551},"62","2008-08-26",2008,[934,919],{"id":1556,"createTime":1557,"updateTime":1558,"relativeEntities":1559,"slug":1560,"properties":1561,"entityType":959,"verifyStatus":26,"verifyTime":1574,"verifyNote":960,"languages":28,"translateLanguages":1575,"viewCount":32,"primaryUrl":1576,"fullTextUrl":28,"authors":1577,"publicationType":979,"publisherRelationship":1602,"citationCount":28,"citationInfo":28,"publishDate":1650,"publishYear":1651,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1652,"openAccess":28,"references":28,"isForceReanalyzing":1031},"01bc7650-b227-422b-a832-e1cb6ba6f539","2024-02-18T19:14:01.998+00:00","2025-02-07T12:24:22.443+00:00",[],"Sensitivity-Analysis-of-M-Estimates-of-Nonlinear-Regression-Model-Influence-of-Data-Subsets",{"abstract":1562,"title":1565,"keywords":1568,"references":1570,"doi":1572},{"EN":1563,"VI":1564},"Asymptotic representations of the difference of M-estimators of the parameters of nonlinear regression model for the full data and for the subsample of data are given for the following three situation: i) fix number of points excluded from data, ii) increasing number, however asymptotically negligible part of data excluded, and finally iii) asymptotically fix portion of data excluded. Asymptotic normality of the difference of estimators (for the two latter cases) is proved.","Các biểu diễn tiệm cận của độ chênh lệch giữa các ước lượng M của các tham số của mô hình hồi quy phi tuyến cho dữ liệu đầy đủ và cho tập con dữ liệu được đưa ra cho ba trường hợp sau: i) số lượng điểm cố định bị loại trừ khỏi dữ liệu, ii) số lượng tăng dần, tuy nhiên phần dữ liệu bị loại trừ là không đáng kể tiệm cận, và cuối cùng iii) phần dữ liệu bị loại trừ là phần cố định tiệm cận. Độ bình thường tiệm cận của độ chênh lệch giữa các ước lượng (đối với hai trường hợp sau) được chứng minh.",{"EN":1566,"VI":1567},"Sensitivity Analysis of M-Estimates of Nonlinear Regression Model: Influence of Data Subsets","Phân Tích Độ Nhạy Của Các Ước Lượng M Trong Mô Hình Hồi Quy Phi Tuyến: Ảnh Hưởng Của Các Tập Dữ Liệu Con",{"VI":1569},"hồi quy phi tuyến, ước lượng M, độ nhạy, phân tích dữ liệu, biến động dữ liệu",{"VOID":1571},"Atkinson, A. C. (1985). Plots, Transformations and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis, Claredon Press, Oxford.\nBelsley, D. A., Kuh, E. and Welsch, R. E. (1980). Regression Diagnostics: Identifying Influential Data and Source of Collinearity, Wiley, New York.\nBenáček, V., Jarolím, J. and Víšek, J. Á (1998). Supply-side characteristics and the industrial structure of Czech foreign trade, Proceedings of the Conference on Business and Economic Development in Central and Eastern Europe: Implications for Economic Intergration into Wider Europe, 51–68, Technical University in Brno together with University of Wisconsin, Whitewater, and the Notingham Trent University, ISBN 80–214–1202-X, Brno.\nBickel, P. J. (1975). One-step Huber estimates in the linear model, J. Amer. Statist. Assoc., 70, 428–433.\nBreiman, L. (1968). Probability, Addison-Wesley, London.\nChatterjee, S. and Hadi, A. S. (1988). Sensitivity Analysis in Linear Regression, Wiley, New York.\nCsörgö, M. and Révész, P. (1981). Strong Approximation in Probability and Statistics, Akademia Kiadó, Budapest.\nHampel, F. R., Ronchetti, E. M., Rousseeuw, P. J. and Stahel, W. A. (1986). Robust Statistics—The Approach Based on Influence Functions, Wiley, New York.\nHettmansperger, T. P. and Sheather, S. J. (1992). A Cautionary Note on the Method of Least Median Squares, Amer. Statist., 46, 79–83.\nJudge, G. G., Griffiths, W. E., Hill, R. C., Liitkepohl, H. and Lee, T. C. (1985). The Theory and Practice of Econometrics, 2nd ed., Wiley, New York.\nJurečková, J. (1984). Regression quantiles and trimmed least squares estimator under a general design, Kybernetika, 20, 345–357.\nJurečková, J. and Procházka, B. (1994). Regression quantiles and trimmed least squares estimator in nonlinear regression model, J. Nonparametr. Statist., 3, 201–222.\nJurečková, J. and Sen, P. K. (1993). Regression rank scores scale statistics and studentization in linear models, Asymptotic Statistics, Proceedings of the Fifth Prague Symposium on Asymptotic Statistics, 111–121, Physica, Heidelberg.\nLiese, F. and Vajda, I. (1994). Consistency of M-estimators in general models, J. Multivariate Anal., 50, 93–114.\nMartin, R. D., Yohai, V. J. and Zamar, R. H. (1989). Min-max bias robust regression, Ann. Statist., 17, 1608–1630.\nPrigogine, I. and Stengers, I. (1984). Out of Chaos, William Heinemann, London.\nRousseeuw, P. J. and Leroy, A. M. (1987). Robust Regression and Outlier Detection, Wiley, New York.\nRubio, A. M. and Víšek, J. Á. (1996). A note on asymptotic linearity of M-statistics in nonlinear models, Kybernetika, 32, 353–374.\nRubio, A. M., Quintana, F. and Víšek, J. Á. (1993). Test for differences between M-estimates of nonlinear regression model, Probab. Math. Statist., 14(2), 189–206.\nRuppert, D. and Carroll, R. J. (1980). Trimmed least squares estimation in linear model, J. Amer. Statist. Assoc., 75(372), 828–838.\nŠtěpán, J. (1987). Teorie pravdpodobnosti (Theory of probability—in Czech), Academia, Praha.\nVíšek, J. Á. (1992a). Stability of regression model estimates with respect to subsamples, Comput. Statist., 2, 183–203.\nVíšek, J. Á.(1992b). Problems connected with selection of robust procedure, Proceedings of PROBASTAT'91 (eds. A. Pázman and J. Volaufová), 189–203, Printing House of the Technical University of Liptovský Mikuláš.\nVíšek, J. Á. (1993). On the role of contamination level and the least favorable behaviour of gross-error sensitivity, Probab. Math. Statist., 14(2), 173–187.\nVíšek, J. Á. (1994). High robustness and an illusion of truth, Transactions of ROBUST'94 (eds. J. Antoch and G. Dohnal), 172–185, JČMF (Union of Czech mathematicians), Prague.\nVíšek, J. Á. (1996a). Sensitivity analysis of M-estimates, Ann. Inst. Statist. Math., 48, 469–495.\nVíšek, J. Á.(1996b). On high breakdown point estimation, Comput. Statist., 96, 137–146.\nVíšek, J. Á. (1997a). Contamination level and sensitivity of robust tests, Handbook of Statist. (eds. G. S. Maddala and C. R. Rao), 15, 633–642, Elsevier Science, Amsterdam.\nVíšek, J. Á. (1997b). Diagnostics of regression subsample stability, Probab. Math. Statist., 17(2), 231–257.\nVíšek, J. Á. (1999). Robust estimation of regression model, Bulletin of the Czech Econometric Society, 9, 57–79.\nVíšek, J. Á. (2000). On the diversity of estimates, Comput. Statist. Data Anal., 34, 67–89.\nZvára, K. (1989). Regresní Analýza (Regression Analysis), Academia, Prague (in Czech).",{"VOID":1573},"10.1023\u002FA:1022465701229","2025-02-05T07:57:48.917+00:00",[30],"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1022465701229",[1578],{"id":1579,"sortIndex":32,"researcher":28,"roles":1580,"affiliations":1581,"properties":1599,"displayName":1601,"givenName":28,"familyName":28},"bb0bbd53-1ccb-4219-b3b2-32f13fad31d8",[966],[1582,1590],{"id":1583,"sortIndex":32,"affiliation":1584,"properties":28},"8b24b885-3004-4b9a-8c1e-643978d68a21",{"id":1583,"createTime":28,"updateTime":28,"relativeEntities":1585,"slug":28,"properties":1586,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1589,"statistic":28},[],{"title":1587},{"VI":1588},"Department of Stochastic Informatics, Institute of Information Theory and Automation, Academy of Sciences, the Czech Republic",[],{"id":1591,"sortIndex":40,"affiliation":1592,"properties":1598},"67346ac3-b3f6-49e8-a15c-fabb9042b088",{"id":1591,"createTime":28,"updateTime":28,"relativeEntities":1593,"slug":28,"properties":1594,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1597,"statistic":28},[],{"title":1595},{"VI":1596},"Department of Macroeconomics, Institute of Economic Studies, Charles University, Prague 1, the Czech Republic",[],{},{"title":1600},{"VI":1601},"Jan Ámos Víšek",{"url":1576,"publisher":1603,"properties":1645},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1604,"slug":872,"properties":1605,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1609,"manageAffiliations":1614,"indexDatabases":1625,"url":28,"thumbnailPath":28,"statistic":1640,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1606,"title":1607,"eissn":1608},{"VOID":877},{"EN":879},{"VOID":875},[1610],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1611,"label":1612,"description":1613,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1615,1620],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1616,"slug":28,"properties":1617,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1619,"statistic":28},[],{"title":1618},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1621,"slug":28,"properties":1622,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1624,"statistic":28},[],{"title":1623},{"EN":904},[898],[1626,1633],{"id":908,"indexDatabase":1627,"url":920,"indexYears":28,"academicFieldIds":1632,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1628,"label":1629,"description":1630,"key":917,"publicationTags":1631,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1634,"url":930,"indexYears":931,"academicFieldIds":1639,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1635,"label":1636,"description":1637,"key":792,"publicationTags":1638,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1641,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1642,"totalCitation":32,"totalCitationByYear":1643,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1644,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1646,"volume":1648},{"VOID":1647},"261-290",{"VOID":1649},"54","2002-06-01",2002,[934,919],{"id":1654,"createTime":1655,"updateTime":1655,"relativeEntities":1656,"slug":28,"properties":1657,"entityType":959,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1666,"fullTextUrl":28,"authors":1667,"publicationType":979,"publisherRelationship":1713,"citationCount":28,"citationInfo":28,"publishDate":1761,"publishYear":1762,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1763,"openAccess":28,"references":28,"isForceReanalyzing":1031},"01c43d76-041f-40d8-bb16-df1a9244de62","2023-12-23T09:45:16.046+00:00",[],{"abstract":1658,"title":1660,"references":1662,"doi":1664},{"EN":1659},"Comparison of two-sample heteroscedastic single-index models, where both the scale and location functions are modeled as single-index models, is studied in this paper. We propose a test for checking the equality of single-index parameters when dimensions of covariates of the two samples are equal. Further, we propose two test statistics based on Kolmogorov–Smirnov and Cramér–von Mises type functionals. These statistics evaluate the difference of the empirical residual processes to test the equality of mean functions of two single-index models. Asymptotic distributions of estimators and test statistics are derived. The Kolmogorov–Smirnov and Cramér–von Mises test statistics can detect local alternatives that converge to the null hypothesis at a parametric convergence rate. To calculate the critical values of Kolmogorov–Smirnov and Cramér–von Mises test statistics, a bootstrap procedure is proposed. Simulation studies and an empirical study demonstrate the performance of the proposed procedures.",{"EN":1661},"A constructive hypothesis test for the single-index models with two groups",{"VOID":1663},"Akritas, M. G., Van Keilegom, I. (2001). Non-parametric estimation of the residual distribution. Scandinavian Journal of Statistics, 28(3), 549–567.\nCarroll, R. J., Fan, J., Gijbels, I., Wand, M. P. (1997). Generalized partially linear single-index models. Journal of the American Statistical Association, 92(438), 477–489.\nCui, X., Härdle, W. K., Zhu, L. (2011). The EFM approach for single-index models. The Annals of Statistics, 39(3), 1658–1688.\nDette, H., Neumeyer, N., Keilegom, I. V. (2007). A new test for the parametric form of the variance function in non-parametric regression. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69(5), 903–917.\nFan, J., Gijbels, I. (1996). Local Polynomial Modelling and Its Applications. London: Chapman & Hall.\nFeng, L., Zou, C., Wang, Z., Zhu, L. (2015). Robust comparison of regression curves. TEST, 24(1), 185–204.\nFeng, Z., Zhu, L. (2012). An alternating determination-optimization approach for an additive multi-index model. Computational Statistics & Data Analysis, 56(6), 1981–1993.\nFeng, Z., Wen, X. M., Yu, Z., Zhu, L. (2013). On partial sufficient dimension reduction with applications to partially linear multi-index models. Journal of the American Statistical Association, 108(501), 237–246.\nGørgens, T. (2002). Nonparametric comparison of regression curves by local linear fitting. Statistics & Probability Letters, 60(1), 81–89.\nHärdle, W., Hall, P., Ichimura, H. (1993). Optimal smoothing in single-index models. The Annals of Statistics, 21, 157–178.\nKoul, H. L., Schick, A. (1997). Testing for the equality of two nonparametric regression curves. Journal of Statistical Planning and Inference, 65(2), 293–314.\nKulasekera, K. (1995). Comparison of regression curves using quasi-residuals. Journal of the American Statistical Association, 90(431), 1085–1093.\nKulasekera, K., Wang, J. (1997). Smoothing parameter selection for power optimality in testing of regression curves. Journal of the American Statistical Association, 92(438), 500–511.\nLi, G., Zhu, L., Xue, L., Feng, S. (2010). Empirical likelihood inference in partially linear single-index models for longitudinal data. Journal of Multivariate Analysis, 101(5), 718–732.\nLi, G., Peng, H., Dong, K., Tong, T. (2014). Simultaneous confidence bands and hypothesis testing for single-index models. Statistica Sinica, 24(2), 937–955.\nLiang, H., Liu, X., Li, R., Tsai, C. L. (2010). Estimation and testing for partially linear single-index models. The Annals of Statistics, 38, 3811–3836.\nLin, W., Kulasekera, K. (2010). Testing the equality of linear single-index models. Journal of Multivariate Analysis, 101(5), 1156–1167.\nNeumeyer, N. (2009). Smooth residual bootstrap for empirical processes of nonparametric regression residuals. Scandinavian Journal of Statistics, 36(2), 204–228.\nNeumeyer, N., Dette, H. (2003). Nonparametric comparison of regression curves: An empirical process approach. The Annals of Statistics, 31(3), 880–920.\nNeumeyer, N., Van Keilegom, I. (2010). Estimating the error distribution in nonparametric multiple regression with applications to model testing. Journal of Multivariate Analysis, 101(5), 1067–1078.\nPeng, H., Huang, T. (2011). Penalized least squares for single index models. Journal of Statistical Planning and Inference, 141(4), 1362–1379.\nPollard, D. (1984). Convergence of Stochastic Processes. New York: Springer.\nStute, W., Zhu, L. X. (2005). Nonparametric checks for single-index models. The Annals of Statistics, 33, 1048–1083.\nStute, W., Xu, W. L., Zhu, L. X. (2008). Model diagnosis for parametric regression in high-dimensional spaces. Biometrika, 95(2), 451–467.\nvan der Vaart, A.W., Wellner, J.A. (1996). Weak convergence and empirical processes, Springer series in statistics. New York: Springer. (with applications to statistics).\nVan Keilegom, I., Manteiga, W. G., Sellero, C. S. (2008). Goodness-of-fit tests in parametric regression based on the estimation of the error distribution. TEST, 17(2), 401–415.\nWang, J. L., Xue, L., Zhu, L., Chong, Y. S. (2010). Estimation for a partial-linear single-index model. The Annals of Statistics, 38, 246–274.\nWang, T., Xu, P., Zhu, L. (2015). Variable selection and estimation for semi-parametric multiple-index models. Bernoulli, 21(1), 242–275.\nXia, Y. (2006). Asymptotic distributions for two estimators of the single-index model. Econometric Theory, 22, 1112–1137.\nXia, Y., Tong, H., Li, W. K., Zhu, L. X. (2002). An adaptive estimation of dimension reduction space. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64, 363–410.\nXu, P., Zhu, L. (2012). Estimation for a marginal generalized single-index longitudinal model. Journal of Multivariate Analysis, 105, 285–299.\nYu, Y., Ruppert, D. (2002). Penalized spline estimation for partially linear single-index models. Journal of the American Statistical Association, 97, 1042–1054.\nZhang, C., Peng, H., Zhang, J. T. (2010). Two samples tests for functional data. Communications in Statistics—Theory and Methods, 39(4), 559–578.\nZhang, J., Wang, X., Yu, Y., Gai, Y. (2014). Estimation and variable selection in partial linear single index models with error-prone linear covariates. Statistics, 48, 1048–1070.",{"VOID":1665},"10.1007\u002Fs10463-017-0616-y","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10463-017-0616-y",[1668,1683,1698],{"id":1669,"sortIndex":32,"researcher":28,"roles":1670,"affiliations":1671,"properties":1680,"displayName":1682,"givenName":28,"familyName":28},"295ed054-f6e1-41c4-9493-308d1ad3dbcb",[966],[1672],{"id":1673,"sortIndex":32,"affiliation":1674,"properties":28},"a2016ab6-e96f-4145-a6e1-24f2adf5b0a8",{"id":1673,"createTime":28,"updateTime":28,"relativeEntities":1675,"slug":28,"properties":1676,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1679,"statistic":28},[],{"title":1677},{"VI":1678},"College of Mathematics and Statistics, Institute of Statistical Sciences, Shen Zhen-Hong Kong Joint Research Center for Applied Statistical Sciences, Shenzhen University, Shenzhen, China",[],{"title":1681},{"VI":1682},"Jun Zhang",{"id":1684,"sortIndex":40,"researcher":28,"roles":1685,"affiliations":1686,"properties":1695,"displayName":1697,"givenName":28,"familyName":28},"afe0a99c-67ba-4d62-b067-92c1e6756af5",[966],[1687],{"id":1688,"sortIndex":32,"affiliation":1689,"properties":28},"a32a8279-0e3e-4c94-9ed4-312be761770a",{"id":1688,"createTime":28,"updateTime":28,"relativeEntities":1690,"slug":28,"properties":1691,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1694,"statistic":28},[],{"title":1692},{"EN":1693},"School of Economics, and the Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China",[],{"title":1696},{"VI":1697},"Zhenghui Feng",{"id":1699,"sortIndex":123,"researcher":28,"roles":1700,"affiliations":1701,"properties":1710,"displayName":1712,"givenName":28,"familyName":28},"25b4257b-4e39-4812-879d-e885b33b4565",[966],[1702],{"id":1703,"sortIndex":32,"affiliation":1704,"properties":28},"b6a37d55-4b2a-42ec-80af-0bb2a103ffef",{"id":1703,"createTime":28,"updateTime":28,"relativeEntities":1705,"slug":28,"properties":1706,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1709,"statistic":28},[],{"title":1707},{"VI":1708},"School of Mathematical Sciences, Dalian University of Technology, Dalian, China",[],{"title":1711},{"VI":1712},"Xiaoguang Wang",{"url":1666,"publisher":1714,"properties":1756},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1715,"slug":872,"properties":1716,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1720,"manageAffiliations":1725,"indexDatabases":1736,"url":28,"thumbnailPath":28,"statistic":1751,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1717,"title":1718,"eissn":1719},{"VOID":877},{"EN":879},{"VOID":875},[1721],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1722,"label":1723,"description":1724,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1726,1731],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1727,"slug":28,"properties":1728,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1730,"statistic":28},[],{"title":1729},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1732,"slug":28,"properties":1733,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1735,"statistic":28},[],{"title":1734},{"EN":904},[898],[1737,1744],{"id":908,"indexDatabase":1738,"url":920,"indexYears":28,"academicFieldIds":1743,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1739,"label":1740,"description":1741,"key":917,"publicationTags":1742,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1745,"url":930,"indexYears":931,"academicFieldIds":1750,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1746,"label":1747,"description":1748,"key":792,"publicationTags":1749,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1752,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1753,"totalCitation":32,"totalCitationByYear":1754,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1755,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1757,"volume":1759},{"VOID":1758},"1077-1114",{"VOID":1760},"70","2017-09-13",2017,[934,919],{"id":1765,"createTime":1766,"updateTime":1767,"relativeEntities":1768,"slug":1769,"properties":1770,"entityType":959,"verifyStatus":26,"verifyTime":1767,"verifyNote":960,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1779,"fullTextUrl":28,"authors":1780,"publicationType":979,"publisherRelationship":1811,"citationCount":28,"citationInfo":28,"publishDate":1859,"publishYear":1860,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1861,"openAccess":28,"references":28,"isForceReanalyzing":1031},"01c8caae-cc7b-4d0f-8641-89e5f3099c9c","2024-02-20T23:07:08.353+00:00","2024-12-10T19:28:58.477+00:00",[],"Statistical-Problems-Related-to-Irrational-Rotations",{"abstract":1771,"title":1773,"references":1775,"doi":1777},{"EN":1772},"Let \n                  \n                    \n                  \n                  $$\\xi_i := \\lfloor i\\alpha + \\beta\\rfloor - \\lfloor (i - 1)\\alpha+\\beta\\rfloor\\quad(i=1,2,\\ldots,m)$$\n                 be random variables as functions of β in the probability space [0,1) with the Lebesgue measure, where \n                  \n                    \n                  \n                  $$\\alpha \\in [0,1]$$\n                 is considered to be an unknown parameter which we want to estimate from the observation ξ :=ξ1, ξ2...ξ\n                  m\n                . Let an observation ξ be given, which is a finite Sturmian sequence. We determine the likelihood function P\n                        α(ξ) as a function of parameter α, and obtain the maximum likelihood estimator \n                  \n                    \n                  \n                  $$\\hat{\\alpha}(\\xi)$$\n                 as the relative frequency of 1s in a minimal cycle of ξ, where a factor η of ξ is called a minimal cycle if ξ is a factor of η∞ and η has the minimum length among them. We also obtain a minimum sufficient statistics. The sample mean (ξ1 + ξ2 + ... + ξ\n                  m\n                )\u002Fm which is an unbiased estimator of α is not admissible if m=6 or m ≥ 8 since it is not based on the minimum sufficient statistics.",{"EN":1774},"Statistical Problems Related to Irrational Rotations",{"VOID":1776},"Berstel J., Pocchiola M. (1996). Random generation of finite Sturmian words. Discrete Mathematics 153:29–35\nHata M. (1982) Dynamics of Caianiello’s equation. Journal of Mathematics of Kyoto University 22:155–173\nMorse M., Hedlund G.A. (1940). Symbolic dynamics II: Sturmian sequences. American Journal of Mathematics 62:1–42\nNagumo J., Sato S. (1972). On a response characteristic of a mathematical neuron model. Kybernetic 10:155–164\nTakahashi, H. (2002). Parametric models and Kolmogorov complexity, Doctoral Thesis at The Graduate University for Advanced Studies, Tokyo.\nTakahashi H., Aihara K. (2003). Algorithmic analysis of irrational rotations in a single neuron model. Journal of Complexity 19:132–152\nYasutomi, S. (1998). The continued fraction expansion of α with μ(α)=3. Acta Arithmetica, 84-4, 337–374",{"VOID":1778},"10.1007\u002Fs10463-005-0023-7","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10463-005-0023-7",[1781,1796],{"id":1782,"sortIndex":32,"researcher":28,"roles":1783,"affiliations":1784,"properties":1793,"displayName":1795,"givenName":28,"familyName":28},"e48e5c80-2875-4669-ae9a-003e63cebb91",[966],[1785],{"id":1786,"sortIndex":32,"affiliation":1787,"properties":28},"cf33ae2f-5cbc-425e-b1a6-e9acbd4fcc0b",{"id":1786,"createTime":28,"updateTime":28,"relativeEntities":1788,"slug":28,"properties":1789,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1792,"statistic":28},[],{"title":1790},{"VI":1791},"Matsuyama University, Matsuyama, Japan",[],{"title":1794},{"VI":1795},"Teturo Kamae",{"id":1797,"sortIndex":40,"researcher":28,"roles":1798,"affiliations":1799,"properties":1808,"displayName":1810,"givenName":28,"familyName":28},"1ab5a8b6-d213-499f-9ff7-6cc522a6da40",[966],[1800],{"id":1801,"sortIndex":32,"affiliation":1802,"properties":28},"19992b87-426a-4e3b-9583-ac96cb911e63",{"id":1801,"createTime":28,"updateTime":28,"relativeEntities":1803,"slug":28,"properties":1804,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1807,"statistic":28},[],{"title":1805},{"EN":1806},"Department of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan",[],{"title":1809},{"VI":1810},"Hayato Takahashi",{"url":1779,"publisher":1812,"properties":1854},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1813,"slug":872,"properties":1814,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1818,"manageAffiliations":1823,"indexDatabases":1834,"url":28,"thumbnailPath":28,"statistic":1849,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1815,"title":1816,"eissn":1817},{"VOID":877},{"EN":879},{"VOID":875},[1819],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1820,"label":1821,"description":1822,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},[1824,1829],{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1825,"slug":28,"properties":1826,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1828,"statistic":28},[],{"title":1827},{"EN":896},[898],{"id":900,"createTime":28,"updateTime":28,"relativeEntities":1830,"slug":28,"properties":1831,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1833,"statistic":28},[],{"title":1832},{"EN":904},[898],[1835,1842],{"id":908,"indexDatabase":1836,"url":920,"indexYears":28,"academicFieldIds":1841,"indexDatabaseRanking":28},{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1837,"label":1838,"description":1839,"key":917,"publicationTags":1840,"standard":28},[],{"EN":913,"VI":913},{"EN":915,"VI":916},[919,813],[922],{"id":924,"indexDatabase":1843,"url":930,"indexYears":931,"academicFieldIds":1848,"indexDatabaseRanking":934},{"id":786,"createTime":28,"updateTime":28,"relativeEntities":1844,"label":1845,"description":1846,"key":792,"publicationTags":1847,"standard":28},[],{"EN":789,"VI":789},{"EN":789,"VI":791},[794],[933],{"impactFactor":32,"impactFactorByYear":1850,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":40,"totalPublicationByYear":1851,"totalCitation":32,"totalCitationByYear":1852,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1853,"hindexLast5Year":32,"hindex":32},{},{"1979":40},{},{},{"pages":1855,"volume":1857},{"VOID":1856},"573-593",{"VOID":1858},"58","2006-06-17",2006,[934,919]]