ELFVING THEOREM FOR D-OPTIMALITY

成果类型:
Article
署名作者:
DETTE, H
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176349149
发表日期:
1993
页码:
753-766
关键词:
regression designs models
摘要:
We consider a model robust version of the c-optimality criterion minimizing a weighted product with factors corresponding to the variances of the least squares estimates for linear combinations of the parameters in different models. A generalization of Elfving's theorem is proved for the optimal designs with respect to this criterion by an application of an equivalence theorem for mixtures of optimality criteria. As a special case an Elfving theorem for the D-optimal design problem is obtained. In the case of identical models the connection between the A-optimality criterion and the model robust criterion is investigated. The geometric characterizations of the optimal designs are illustrated by a couple of examples.
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