Locally D-optimal Designs for Exponential Regression

dc.contributor.author	Dette, Holger	de
dc.contributor.author	Melas, Viatcheslav B.	de
dc.contributor.author	Wong, Weng Kee	de
dc.date.accessioned	2004-12-06T18:39:08Z
dc.date.available	2004-12-06T18:39:08Z
dc.date.issued	2004	de
dc.description.abstract	We study locally D-optimal designs for some exponential models that are frequently used in the biological sciences. The model can be written as an algebraic sum of two or three exponential terms. We show that approximate locally D-optimal designs are supported at a minimal number of points and construct these designs numerically.	en
dc.format.extent	169801 bytes
dc.format.extent	332677 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4891
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15075
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject.ddc	310	de
dc.title	Locally D-optimal Designs for Exponential Regression	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access
eldorado.dnb.deposit	true

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