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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/134820
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dc.contributor.authorSuzuki. A. K.-
dc.contributor.authorLouzada-Neto Neto, Franscisco-
dc.contributor.authorCancho, Vicente G.-
dc.contributor.authorBarriga, Gladys Dorotea Cacsire-
dc.date.accessioned2016-03-02T12:58:30Z-
dc.date.accessioned2016-10-25T21:31:15Z-
dc.date.available2016-03-02T12:58:30Z-
dc.date.available2016-10-25T21:31:15Z-
dc.date.issued2011-
dc.identifierhttp://www.pphmj.com/abstract/5794.htm-
dc.identifier.citationAdvances and Applications in Statistics, v. 21, p. 55-76, 2011.-
dc.identifier.issn0972-3617-
dc.identifier.urihttp://hdl.handle.net/11449/134820-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/134820-
dc.description.abstractIn this paper, we propose a bivariate distribution for the bivariate survival times based on Farlie-Gumbel-Morgenstern copula to model the dependence on a bivariate survival data. The proposed model allows for the presence of censored data and covariates. For inferential purpose a Bayesian approach via Markov Chain Monte Carlo (MCMC) is considered. Further, some discussions on the model selection criteria are given. In order to examine outlying and influential observations, we present a Bayesian case deletion influence diagnostics based on the Kullback-Leibler divergence. The newly developed procedures are illustrated via a simulation study and a real dataset.en
dc.format.extent55-76-
dc.language.isoeng-
dc.sourceCurrículo Lattes-
dc.subjectCase deletion influence diagnosticsen
dc.subjectCopula modelingen
dc.subjectSurvival dataen
dc.subjectBayesian approachen
dc.titleThe FGM bivariate lifetime copula model: a bayesian approachen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Engenharia de Produção, Faculdade de Engenharia de Bauru, Bauru, Av. Eng. Luiz Edmundo C. Coube 14-01, CEP 17033-360, SP, Brasil-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Engenharia de Produção, Faculdade de Engenharia de Bauru, Bauru, Av. Eng. Luiz Edmundo C. Coube 14-01, CEP 17033-360, SP, Brasil-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofAdvances and Applications in Statistics-
dc.identifier.lattes5267593860042306-
dc.identifier.lattes3503233632044163-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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