Authors: Dette, Holger
Haines, Linda M.
Inhof, Lorens A.
Title: Bayesian and Maximum Optimal Designs for Heteroscedastic Regression Models
Language (ISO): en
Abstract: The problem of constructing standardized maximin D-optimal designs for weighted polynomial regression models is addressed. In particular it is shown that, by following the broad approach to the construction of maximin designs introduced recently by Dette, Haines and Imhof (2003), such designs can be obtained as weak limits of the corresponding Bayesian Φ_q-optimal designs. The approach is illustrated for two specific weighted polynomial models and also for a particular growth model.
Subject Headings: Bayesian design
D-optimal design
maximin design
polynomial regression
standardized criterion
URI: http://hdl.handle.net/2003/4998
http://dx.doi.org/10.17877/DE290R-2697
Issue Date: 2003
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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