Optimal discriminating designs for several competing regression models

dc.contributor.author	Braess, Dietrich
dc.contributor.author	Dette, Holger
dc.date.accessioned	2011-12-06T11:41:41Z
dc.date.available	2011-12-06T11:41:41Z
dc.date.issued	2011-12-06
dc.description.abstract	The problem of constructing optimal designs for a class of regression models is considered. We investigate a version of the Tp-optimality criterion as introduced by Atkinson and Fedorov (1975b) and demonstrate that optimal designs with respect to this type of criteria can be obtained by solving (nonlinear) vector-valued approximation problems. We provide a characterization of the best approximations in this context and use these results to develop an efficient algorithm for the determination of the optimal discriminating designs. The results are illustrated by fnumerical examples.	en
dc.identifier.uri	http://hdl.handle.net/2003/29216
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-3073
dc.language.iso	en	de
dc.relation.ispartofseries	Discussion Paper / SFB 823;46/2011
dc.subject	model discrimination	en
dc.subject	optimal design	en
dc.subject	vector-valued approximation	en
dc.subject.ddc	310
dc.subject.ddc	330
dc.subject.ddc	620
dc.title	Optimal discriminating designs for several competing regression models	en
dc.type	Text	de
dc.type.publicationtype	workingPaper	de
dcterms.accessRights	open access
eldorado.dnb.deposit	true	de

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