Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dette, Holger | de |
dc.contributor.author | Haines, Linda M. | de |
dc.contributor.author | Inhof, Lorens A. | de |
dc.date.accessioned | 2004-12-06T18:41:32Z | - |
dc.date.available | 2004-12-06T18:41:32Z | - |
dc.date.issued | 2003 | de |
dc.identifier.uri | http://hdl.handle.net/2003/4998 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-2697 | - |
dc.description.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. | en |
dc.format.extent | 214275 bytes | - |
dc.format.extent | 394243 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/postscript | - |
dc.language.iso | en | de |
dc.publisher | Universitätsbibliothek Dortmund | de |
dc.subject | Bayesian design | en |
dc.subject | D-optimal design | en |
dc.subject | maximin design | en |
dc.subject | polynomial regression | en |
dc.subject | standardized criterion | en |
dc.subject.ddc | 310 | de |
dc.title | Bayesian and Maximum Optimal Designs for Heteroscedastic Regression Models | de |
dc.type | Text | de |
dc.type.publicationtype | report | en |
dcterms.accessRights | open access | - |
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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