Measures for designs in experiments with correlated errors

被引：37

作者：

Müller, WG

Pázman, A

机构：

[1] Univ Econ & Business Adm, Dept Stat, A-1090 Vienna, Austria

[2] Comenius Univ, Dept Probabil & Stat, SK-84248 Bratislava, Slovakia

来源：

BIOMETRIKA | 2003年 / 90卷 / 02期

关键词：

approximate information matrix; correlated errors; optimal design; random sampling; regression experiment;

D O I：

10.1093/biomet/90.2.423

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper we consider optimal design of experiments in the case of correlated observations. We use and further develop the concept of design measures introduced by Pazman & Milller (1998) for the construction of a simple, quick and elegant design algorithm. We support the construction of this algorithm for a general correlation structure by an interpretation in terms of norms. Examples demonstrate that our results are useful for generating exact designs by sampling from the obtained design measures.

引用

页码：423 / 434

页数：12

共 12 条

[1] Optimal exact experimental designs with correlated, errors through a simulated annealing algorithm [J].