An improved optimisation procedure for Desirability Indices

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DC Field	Value	Language
dc.contributor.author	Steuer, Detlef	de
dc.date.accessioned	2004-12-06T18:42:31Z	-
dc.date.available	2004-12-06T18:42:31Z	-
dc.date.issued	2000	de
dc.identifier.uri	http://hdl.handle.net/2003/5032	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14204	-
dc.description.abstract	As will be shown the current use of Desirability Indices for optimisation purposes in experimental design gives biased results in general. Researchers were satisfied with approximative solutions as unbiased results would have required analytical expressions for the distributions of Desirability Indices. These expressions are unavailable. Todays computing power allows to use Monte-Carlo estimators for estimating exact solutions instead of analytical solutions and therefore to improve the estimation process for Desirabilities.	en
dc.format.extent	202531 bytes	-
dc.format.extent	268769 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	bias	en
dc.subject	computer intensive procedures	en
dc.subject	desirability index	en
dc.subject	MCD	de
dc.subject	MCDA	de
dc.subject	MCO	de
dc.subject	Monte-Carlo estimation	en
dc.subject	numerical optimisation	en
dc.subject.ddc	310	de
dc.title	An improved optimisation procedure for Desirability Indices	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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