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

页码：520 / 529

页数：10

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