Constrained optimal discriminating designs for Fourier regression models

dc.contributor.authorBiedermann, Stefanie
dc.contributor.authorDette, Holger
dc.contributor.authorHoffmann, Philipp
dc.date.accessioned2006-08-07T12:04:09Z
dc.date.available2006-08-07T12:04:09Z
dc.date.issued2006-08-07T12:04:09Z
dc.description.abstractIn this article, the problem of constructing efficient discriminating designs in a Fourier regression model is considered. We propose designs which maximize the efficiency for the estimation of the coefficient corresponding to the highest frequency subject to the constraints that the coefficients of the lower frequencies are estimated with at least some given efficiency. A complete solution is presented using the theory of canonical moments, and for the special case of equal constraints the optimal designs can be found analytically.en
dc.format.extent146328 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2003/22690
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-3087
dc.language.isoen
dc.subjectCanonical momentsen
dc.subjectChebyshev polynomialsen
dc.subjectConstrained optimal designsen
dc.subjectD1-optimal designsen
dc.subjectTrigonometric regressionen
dc.subject.ddc004
dc.titleConstrained optimal discriminating designs for Fourier regression modelsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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