TEST

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed
TEST - Tập 21 - Trang 280-300 - 2011
Hironori Fujisawa, Takayuki Sakaguchi
Microarray data often consist of a large number of genes and a small number of replicates. We have examined testing the null hypothesis of equality of mean for detecting differentially expressed genes. The p-value for each gene is often estimated using permutation samples not only for the target gene but also for other genes. This method has been widely used and discussed. However, direct use of t...... hiện toàn bộ
Comments on: Panel data analysis—advantages and challenges
TEST - Tập 16 - Trang 42-46 - 2007
Marc Nerlove
Coherent combination of experts' opinions
TEST - Tập 4 - Trang 263-313 - 1995
A. P. Dawid, M. H. DeGroot, J. Mortera, R. Cooke, S. French, C. Genest, M. J. Schervish, D. V. Lindley, K. J. McConway, R. L. Winkler
Anexpert (for You) is here defined as someone who shares Your world-view, but knows more than You do, so that were She to reveal Her current opinion to You, You would adopt it as Your own. When You have access to different experts, with differing information, You require acombination formula to aggregate their various opinions. A number of formulae have been suggested, but here we explore the fund...... hiện toàn bộ
A generalized Hosmer–Lemeshow goodness-of-fit test for a family of generalized linear models
TEST - - Trang 1-20 - 2023
Nikola Surjanovic, Richard A. Lockhart, Thomas M. Loughin
Generalized linear models (GLMs) are very widely used, but formal goodness-of-fit (GOF) tests for the overall fit of the model seem to be in wide use only for certain classes of GLMs. We develop and apply a new goodness-of-fit test, similar to the well-known and commonly used Hosmer–Lemeshow (HL) test, that can be used with a wide variety of GLMs. The test statistic is a variant of the HL statisti...... hiện toàn bộ
Automatic spectral density estimation for random fields on a lattice via bootstrap
TEST - - 2009
José M. Vidal-Sanz
Rejoinder on: Compositional data: the sample space and its structure
TEST - Tập 28 - Trang 658-663 - 2019
Juan José Egozcue, Vera Pawlowsky-Glahn
Comments on: Control of the false discovery rate under dependence using the bootstrap and subsampling
TEST - Tập 17 - Trang 458-460 - 2008
Daniel Yekutieli
Robust estimation and inference for general varying coefficient models with missing observations
TEST - - 2020
Francesco Bravo
AbstractThis paper considers estimation and inference for a class of varying coefficient models in which some of the responses and some of the covariates are missing at random and outliers are present. The paper proposes two general estimators—and a computationally attractive and asymptotically equivalent one-step version of them—that combine inverse probability we...... hiện toàn bộ
A robust proposal of estimation for the sufficient dimension reduction problem
TEST - Tập 30 - Trang 758-783 - 2021
Andrea Bergesio, María Eugenia Szretter Noste, Víctor J. Yohai
In nonparametric regression contexts, when the number of covariables is large, we face the curse of dimensionality. One way to deal with this problem when the sample is not large enough is using a reduced number of linear combinations of the explanatory variables that contain most of the information about the response variable. This leads to the so-called sufficient reduction problem. The purpose ...... hiện toàn bộ
Reweighted least trimmed squares: an alternative to one-step estimators
TEST - Tập 22 - Trang 514-533 - 2013
Pavel Čížek
A new class of robust regression estimators is proposed that forms an alternative to traditional robust one-step estimators and that achieves the $\sqrt{n}$ rate of convergence irrespective of the initial estimator under a wide range of distributional assumptions. The proposed reweighted least trimmed sq...... hiện toàn bộ
Tổng số: 787   
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 10