Afficher la notice abrégée

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierAménités et dynamiques des espaces ruraux [UR ADBX]
dc.contributor.authorKUENTZ, Vanessa
hal.structure.identifierEpidémiologie et Biostatistique [Bordeaux]
dc.contributor.authorLIQUET, Benoit
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorSARACCO, Jérôme
dc.date.accessioned2024-04-04T02:26:13Z
dc.date.available2024-04-04T02:26:13Z
dc.date.issued2011-09-30
dc.identifier.issn0361-0926
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189943
dc.description.abstractEnIn this article, we consider a semiparametric single index regression model involving a real dependent variable Y, a p-dimensional quantitative covariable X, and a categorical predictor Z which defines a stratification of the population. This model includes a dimension reduction of X via an index X'b. We propose an approach based on sliced inverse regression in order to estimate the space spanned by the common dimension reduction direction b. We establish root square n-consistency of the proposed estimator and its asymptotic normality. Simulation study shows good numerical performance of the proposed estimator in homoscedastic and heteroscedastic cases. Extensions to multiple indices models, q-dimensional response variable, and/or SIR-alpha based methods are also discussed. The case of unbalanced subpopulations is treated. Finally, a practical method to investigate if there is or not a common direction b is proposed.
dc.language.isoen
dc.publisherTaylor & Francis
dc.title.enSliced Inverse Regression for stratified population
dc.typeArticle de revue
dc.identifier.doi10.1080/03610926.2010.501940
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.journalCommunications in Statistics - Theory and Methods
bordeaux.page3857-3878
bordeaux.volume40
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue21
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00646560
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00646560v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Communications%20in%20Statistics%20-%20Theory%20and%20Methods&rft.date=2011-09-30&rft.volume=40&rft.issue=21&rft.spage=3857-3878&rft.epage=3857-3878&rft.eissn=0361-0926&rft.issn=0361-0926&rft.au=CHAVENT,%20Marie&KUENTZ,%20Vanessa&LIQUET,%20Benoit&SARACCO,%20J%C3%A9r%C3%B4me&rft.genre=article


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée