Optimal designs for dual response polynomial regression models

被引:15
|
作者
Chang, FC
Huang, MNL
Lin, DKJ
Yang, HC
机构
[1] Penn State Univ, University Pk, PA 16802 USA
[2] Natl Sun Yat Sen Univ, Dept Appl Math, Kaohsiung, Taiwan
关键词
correlated observations; dual response model; equivalence theorem; polynomial regression;
D O I
10.1016/S0378-3758(00)00162-2
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
In this paper, the D- and D-s-optimal design problems in linear regression models with a one-dimensional control variable and a k-dimensional response variable are considered. The response variables are correlated with a known covariance matrix. Some of the D- and D-s-optimal designs with polynomial models for k=2 are found explicitly. It is noted that the number of support points for the D- and D-s-optimal designs highly depend on the correlation between the two response variables except on some special cases. (C) 2001 Elsevier Science B.V. All rights reserved. MSG: 62K05.
引用
收藏
页码:309 / 322
页数:14
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