Optimal design of experiments subject to correlated errors

被引:23
|
作者
Pázman, A
Müller, WG
机构
[1] Comenius Univ, Bratislava 84215, Slovakia
[2] Vienna Univ Econ & Business Adm, A-1090 Vienna, Austria
关键词
design measure; approximate information matrix; random field; exact designs;
D O I
10.1016/S0167-7152(00)00201-7
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 paper we consider optimal design of experiments in the case of correlated observations, when no replications are possible. This situation is typical when observing a random process or random field with known covariance structure. We present a theorem which demonstrates that the computation of optimum exact designs corresponds to solving minimization problems in terms of design measures. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:29 / 34
页数:6
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