Bayesian Estimation for the Birnbaum-Saunders distribution in the presence of censored data

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorMoala, Fernando Antonio-
Autor(es): dc.creatorAchcar, Jorge Alberto-
Autor(es): dc.creatorGimenez, Robson-
Data de aceite: dc.date.accessioned2021-03-11T00:52:35Z-
Data de disponibilização: dc.date.available2021-03-11T00:52:35Z-
Data de envio: dc.date.issued2018-12-11-
Data de envio: dc.date.issued2018-12-11-
Data de envio: dc.date.issued2015-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2015.7387220-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/177910-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/177910-
Descrição: dc.descriptionThe use of Birnbaum-Saunders distribution can be a good alternative for analyzing data lifetime of equipment. In this work two different prior distributions are used in the estimation of the parameters of the Birnbaum-Saunders distribution under the Bayesian approach and with the presence of type I and II censored data. Assuming a priori dependence between parameters, an alternative prior distribution based on copula functions is proposed. Thus, a study to determine whether the priors lead to the same inference a posteriori is of great practical interest. Two examples are presented to illustrate the proposed methodology and investigated the performance of prior distributions. The Bayesian analysis is performed based on Monte Carlo Markov Chain (MCMC) to generate samples from the posterior distribution.-
Formato: dc.format3187-3192-
Idioma: dc.languagept_BR-
Relação: dc.relationIEEE Latin America Transactions-
Relação: dc.relation0,253-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectBirnbaum-Saunders Distribution-
Palavras-chave: dc.subjectcopula-
Palavras-chave: dc.subjectMCMC-
Palavras-chave: dc.subjectType I censoring-
Palavras-chave: dc.subjecttype II-
Título: dc.titleBayesian Estimation for the Birnbaum-Saunders distribution in the presence of censored data-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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