Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/214
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dc.contributor.authorAERTS, Marc-
dc.contributor.authorAugustyns, Ilse-
dc.contributor.authorJANSSEN, Paul-
dc.date.accessioned2004-08-30T09:27:46Z-
dc.date.available2004-08-30T09:27:46Z-
dc.date.issued1997-
dc.identifier.citationSTATISTICS & PROBABILITY LETTERS, 33(1). p. 41-48-
dc.identifier.urihttp://hdl.handle.net/1942/214-
dc.description.abstractFor sparse multinomial data we study sparse consistency rates for frequency estimators and for local polynomial cell probability estimators. Our results illustrate the beneficial effect of nonparametric smoothing. Compared to sparse consistency properties for maximum penalized likelihood cell probability estimators our results require less stringent conditions and allow more flexible sparseness conditions-
dc.language.isoen-
dc.subjectMathematical Statistics-
dc.subjectNon and semiparametric methods-
dc.titleSparse consistency and smoothing for multinomial data-
dc.typeJournal Contribution-
dc.identifier.epage48-
dc.identifier.issue1-
dc.identifier.spage41-
dc.identifier.volume33-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1016/S0167-7152(96)00108-3-
item.fulltextNo Fulltext-
item.fullcitationAERTS, Marc; Augustyns, Ilse & JANSSEN, Paul (1997) Sparse consistency and smoothing for multinomial data. In: STATISTICS & PROBABILITY LETTERS, 33(1). p. 41-48.-
item.accessRightsClosed Access-
item.contributorAERTS, Marc-
item.contributorAugustyns, Ilse-
item.contributorJANSSEN, Paul-
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