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 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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36_03.pdf | DNB | 209.25 kB | Adobe PDF | View/Open |
tr36-03.ps | 385 kB | Postscript | View/Open |
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