Blocked Two-Level Regular Designs With General Minimum Lower Order Confounding

Jialin Wei1,2, Peng Li3,1, Runchu Zhang4,1,5
1LPMC and School of Mathematical Sciences, Nankai University, Tianjin, China
2Department of Statistics , Tianjin University of Commerce , Tianjin , China
3School of Mathematical Sciences, Capital Normal University, Beijing, China
4KLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun, China
5Department of Statistics , The University of British Columbia , British Columbia , Canada

Tóm tắt

Từ khóa


Tài liệu tham khảo

Bisgaard S., 1994, Technometrics, 36, 308

Chen B. J., 2006, J. Stat. Plan. Inference, 136, 4436, 10.1016/j.jspi.2005.07.006

10.1214/aos/1017939246

10.1214/aos/1009210551

10.1214/009053604000001228

10.1198/004017002188618455

10.1016/j.jspi.2010.02.006

Hu J. W., 2011, J. Stat. Plan. Inference, 141, 1774, 10.1016/j.jspi.2010.11.027

Hu J. W., 2012, Stat. Sinica, 22, 869

Li P. F., 2011, Stat. Sinica, 21, 1571

Mukerjee R., 1999, Ann. Stat., 27, 1256, 10.1214/aos/1018031102

Sitter R. R., 1997, Technometrics, 39, 382

Sun D. X., 1997, Technometrics, 39, 298

Wu C. F. J., 2000, Experiments: Planning, analysis and parameter design optimization

Xu H., 2006, Ann. Stat., 34, 2534, 10.1214/009053606000000777

Xu H., 2006, J. Stat. Plan. Inference, 136, 4088, 10.1016/j.jspi.2005.05.002

10.1016/j.jspi.2009.12.024

10.1080/15598608.2011.10412058

Zhang R. C., 2008, Stat. Sinica, 18, 1689

Zhang R. C., 2009, Stat. Sinica, 19, 363

Zhang R. C., 2009, Stat. Sinica, 19, 1787

10.1016/S0378-3758(00)00133-6