Bayesian and maximin optimal designs for heteroscedastic regression models-Reference-Cited by-同舟云学术

Bayesian and maximin optimal designs for heteroscedastic regression models

Published:2005-06 Issue:2 Volume:33 Page:221-241
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can. J. Statistics

Author:

Dette Holger,Haines Linda M.,Imhof Lorens A.

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference27 articles.

1. Statistical Decision Theory

2. A note on maximin and Bayesian D-optimal designs in weighted polynomial regression;Biedermann;Mathematical Methods of Statistics,2003

3. S. Biedermann & H. Dette (2003b). Numerical construction of maximin optimal designs for binary response models. Submitted for publication. Preprint: http://ruhr-uni-bochum.de/mathematik3/preprint.htm

4. Convergence of Probability Measures

5. Bayesian experimental design: a review;Chaloner;Statistical Science,1995

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