Bayesian test for homogeneity hypothesis

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dc.contributor.authorFarnoosh, R.
dc.contributor.authorHajrajabi, A.
dc.date.accessioned2024-07-12T20:50:24Z
dc.date.available2024-07-12T20:50:24Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractPopulation which consist of several subpopulation with different properties is called heterogeneous. Hence homogeneity means not mixing population distribution. Modified likelihood ratio test and EM test which are based penalized likelihood function are usually used for testing homogeneity under the mixture models. In this paper we will show that efficiency of these tests is influenced by the shape of the chosen penalty function, Hence none of these tests is generally optimal. Parameters of poisson mixture models and parameter of determinative shape of the penalty function are estimated by a bayesian approch and homogeneity test is implemented by using the criteria of the optimal model choice.en_US
dc.identifier.citationFarnoosh, R. ve Hajrajabi, A. (2009). Bayesian test for homogeneity hypothesis. Maltepe Üniversitesi. s. 333.en_US
dc.identifier.endpage334en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage333en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2336
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07701
dc.titleBayesian test for homogeneity hypothesisen_US
dc.typeConference Object
dspace.entity.typePublication

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