G-OPTIMAL DESIGNS FOR MULTIFACTOR EXPERIMENTS WITH HETEROSCEDASTIC ERRORS

被引：27
|
作者：
WONG, WK [1 ]
机构：
[1] UNIV CALIF LOS ANGELES,DEPT BIOSTAT,LOS ANGELES,CA 90024
来源：
JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1994年 / 40卷 / 01期
关键词：
ADDITIVE MODELS; EFFICIENCY FUNCTION; INFORMATION MATRICES; KRONECKER PRODUCT MODELS;
D O I：
10.1016/0378-3758(94)90146-5
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：
We consider constructing G-optimal designs for multi-factor experiments when the errors are heteroscedastic. The method is illustrated with examples assuming the Kronecker product models and the additive models. Sufficient conditions are given so that G-optimal designs for the multi-factor experiments can be constructed from the optimal designs for the single-factor experiments.
引用
收藏
页码：127 / 133
页数：7
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