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Focused model selection in quantile regression

dc.contributor.authorBehl, Peter
dc.contributor.authorClaeskens, Gerda
dc.contributor.authorDette, Holger
dc.date.accessioned2012-03-29T08:16:39Z
dc.date.available2012-03-29T08:16:39Z
dc.date.issued2012-03-29
dc.description.abstractWe consider the problem of model selection for quantile regression analysis where a particular purpose of the modeling procedure has to be taken into account. Typical examples include estimation of the area under the curve in pharmacokinetics or estimation of the minimum effective dose in phase II clinical trials. A focused information criterion for quantile regression is developed, analyzed and investigated by means of a simulation study.en
dc.identifier.urihttp://hdl.handle.net/2003/29401
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14292
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823 ; 13/2012en
dc.subjectmodel selection focused information criterionen
dc.subjectquantile regressionen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleFocused model selection in quantile regressionen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.dnb.deposittruede

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