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

dc.contributor.authorDette, Holger
dc.contributor.authorMelas, Viatcheslav B.
dc.contributor.authorShpilev, Petr
dc.date.accessioned2019-07-12T10:43:47Z
dc.date.available2019-07-12T10:43:47Z
dc.date.issued2019
dc.description.abstractIn 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.urihttp://hdl.handle.net/2003/38137
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20118
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;13/2019
dc.subjectpolynomial regressionen
dc.subjectc-optimal designen
dc.subjectChebyshev systemen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleOptimal designs for estimating individual coefficients in polynomial regression with no intercepten
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.dnb.deposittruede
eldorado.secondarypublicationfalsede

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