An improved optimisation procedure for Desirability Indices

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.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.identifier.uri	http://hdl.handle.net/2003/5032
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14204
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

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