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- Title
Robustness properties of minimally-supported Bayesian D-optimal designs for heteroscedastic models.
- Authors
Dette, Holger; Song, Dale; Wong, Weng Kee
- Abstract
The article presents a study that investigated the robustness properties of Bayesian D-optimal designs, based on model assumptions and the prior distribution, and presents optimal designs under a class of error variance structures. The study suggested that prior distribution that is symmetric and concentrated around its mean, helped increase the potential of Bayesian D-optimal designs supported on a fixed number of point, to be optimal.
- Subjects
BAYESIAN analysis; OPTIMAL designs (Statistics); EXPERIMENTAL design; STATISTICS
- Publication
Canadian Journal of Statistics, 2001, Vol 29, Issue 4, p633
- ISSN
0319-5724
- Publication type
Article
- DOI
10.2307/3316012