Robust experimental design for multivariate generalized linear models

被引：69
|
作者：
Dror, Hovav A. [1 ]
Steinberg, David M. [1 ]
机构：
[1] Tel Aviv Univ, Raymond & Beverly Sackler Fac Exact Sci, Dept Stat & Operat Res, IL-69978 Ramat Aviv, Israel
来源：
TECHNOMETRICS | 2006年 / 48卷 / 04期
关键词：
binary response; clustering; D-optimal; design of experiments; logit; Poisson;
D O I：
10.1198/004017006000000318
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A simple heuristic is proposed for constructing robust experimental designs for multivariate generalized linear models. The method is based on clustering a set of local optimal designs. A method for finding local D-optimal designs using available resources is also introduced. Clustering, with its simplicity and minimal computation needs, is demonstrated to outperform more complex and sophisticated methods.
引用
收藏
页码：520 / 529
页数：10
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