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Objective priors for estimation of extended exponential geometric distribution

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dc.contributor.authorRamos, Pedro L.
dc.contributor.authorMoala, Fernando A. [UNESP]
dc.contributor.authorAchcar, Jorge A.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:01:05Z
dc.date.available2022-04-28T19:01:05Z
dc.date.issued2014-01-01
dc.description.abstractA Bayesian analysis was developed with different noninformative prior distributions such as Jeffreys, Maximal Data Information, and Reference. The aim was to investigate the effects of each prior distribution on the posterior estimates of the parameters of the extended exponential geometric distribution, based on simulated data and a real application.en
dc.description.affiliationFaculty of Medicine of Ribeirão Preto Universidade de São Paulo
dc.description.affiliationFaculty of Science and Technology Universidade Estadual Paulista
dc.description.affiliationInstitute of Mathematics and Computer Science Universidade de São Paulo
dc.description.affiliationUnespFaculty of Science and Technology Universidade Estadual Paulista
dc.format.extent226-243
dc.identifierhttp://dx.doi.org/10.22237/jmasm/1414815060
dc.identifier.citationJournal of Modern Applied Statistical Methods, v. 13, n. 2, p. 226-243, 2014.
dc.identifier.doi10.22237/jmasm/1414815060
dc.identifier.issn1538-9472
dc.identifier.scopus2-s2.0-84930344712
dc.identifier.urihttp://hdl.handle.net/11449/220372
dc.language.isoeng
dc.relation.ispartofJournal of Modern Applied Statistical Methods
dc.sourceScopus
dc.subjectBayesian
dc.subjectExtended exponential geometric distribution
dc.subjectJeffreys
dc.subjectMDIP
dc.subjectNoninformative
dc.subjectPrior
dc.subjectReference
dc.titleObjective priors for estimation of extended exponential geometric distributionen
dc.typeArtigo
dspace.entity.typePublication

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