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dc.contributor.authorLUMELSKII, Yan
dc.contributor.authorVOINOV, Vassily
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorNIKULIN, Mikhail
dc.contributor.authorPAUL FEGIN, Paul
dc.date.created2006
dc.date.issued2007
dc.identifier.issn0361-0926
dc.description.abstractEnA generalization of the classical random sampling scheme is suggested. Based on the proposed generalization one can derive many new minimum variance unbiased estimators for probabilities, as well as for other functions of unknown parameters, for the multivariate Polya, the multivariate negative Polya, the multinomial, the multivariate hypergeometric, the multivariate Poisson, and the Wishart probability distributions.
dc.language.isoen
dc.publisherTaylor & Francis
dc.subject.enGeneralized random sampling scheme
dc.subject.enunbiased estimators
dc.subject.enprobabilities of linear inequalities
dc.subject.enmultivariate discrete distributions
dc.subject.enmultivariate Polya distribution
dc.subject.enmultivariate negative Polya distribution
dc.subject.enmultivariate Poisson distribution
dc.subject.enWishart distribution
dc.title.en.On a generalization of the classical random sampling scheme and unbiased estimation, by Ya.Lumelskii, V.Voinov, M.Nikulin and P.Fegin
dc.typeArticle de revue
dc.identifier.doi10.1080/03610920601033793
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halStatistiques [stat]/Méthodologie [stat.ME]
bordeaux.journalCommunications in Statistics - Theory and Methods
bordeaux.page693-705
bordeaux.volume36
bordeaux.issue4
bordeaux.peerReviewedoui
hal.identifierhal-00208047
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00208047v1
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