Optimal designs for estimating individual coefficients in polynomial regression with no intercept

dc.contributor.author	Dette, Holger
dc.contributor.author	Melas, Viatcheslav B.
dc.contributor.author	Shpilev, Petr
dc.date.accessioned	2019-07-12T10:43:47Z
dc.date.available	2019-07-12T10:43:47Z
dc.date.issued	2019
dc.description.abstract	In a seminal paper Studden (1968) characterized c-optimal designs in regression models, where the regression functions form a Chebyshev system. He used these results to determine the optimal design for estimating the individual coefficients in a polynomial regression model on the interval [-1; 1] explicitly. In this note we identify the optimal design for estimating the individual coefficients in a polynomial regression model with no intercept (here the regression functions do not form a Chebyshev system).	de
dc.identifier.uri	http://hdl.handle.net/2003/38137
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-20118
dc.language.iso	en	de
dc.relation.ispartofseries	Discussion Paper / SFB823;13/2019
dc.subject	polynomial regression	en
dc.subject	c-optimal design	en
dc.subject	Chebyshev system	en
dc.subject.ddc	310
dc.subject.ddc	330
dc.subject.ddc	620
dc.title	Optimal designs for estimating individual coefficients in polynomial regression with no intercept	en
dc.type	Text	de
dc.type.publicationtype	workingPaper	de
dcterms.accessRights	open access
eldorado.secondarypublication	false	de

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