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.
机构:
Department of Mathematical Methods, Agric. University of Poznań, 60-637 PoznańDepartment of Mathematical Methods, Agric. University of Poznań, 60-637 Poznań
Ceranka B.
Graczyk M.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Mathematical Methods, Agric. University of Poznań, 60-637 PoznańDepartment of Mathematical Methods, Agric. University of Poznań, 60-637 Poznań