Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/319502
Full metadata record
DC FieldValueLanguage
dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de periódicopt_BR
dc.titleA Bivariate Birnbaum-saunders Regression Modelpt_BR
unicamp.author.emailbetsabe@de.ufpe.brpt_BR
unicamp.authorLachos, V.H., Departamento de Estatística, Universidade Estadual de Campinas SP, Brazilpt_BR
unicamp.author.externalBlas, B., Departamento de Estatística, Universidade Federal de Pernambuco, Recife PE, Brazilpt
unicamp.author.externalBolfarine, H., Departamento de Estatística, Universidade de São Paulo, São Paulo SP, Brazilpt
dc.description.abstractIn this work, we propose a bivariate Birnbaum-Saunders regression model through the use of bivariate Sinh-normal distribution. The proposed regression model has its marginal as the Birnbaum-Saunders regression model of Rieck and Nedelman (1991), which has been discussed extensively by various authors with natural applications in survival and reliability studies. This bivariate regression model can be used to analyze correlated log-lifetimes of two units, in which the dependence structure between observations arises from the bivariate normal distribution. The main aim of this paper is to propose a bivariate Birnbaum-Saunders regression model and discuss some of its properties. Specifically, we have developed the moment estimation, the maximum likelihood estimation and the observed Fisher information matrix. Hypothesis testing is also performed by the use of the asymptotic normality of the maximum-likelihood estimators. Finally, the results of simulation studies as well as an application to a real data set are presented to illustrate the model and all the inferential methods developed here. © 2015 Elsevier B.V.en
dc.relation.ispartofComputational Statistics and Data Analysispt_BR
dc.publisherElsevierpt_BR
dc.date.issued2016pt_BR
dc.identifier.citationComputational Statistics And Data Analysis. Elsevier, v. 97, p. 169 - 183, 2016.pt_BR
dc.language.isoenpt_BR
dc.description.volume97pt_BR
dc.description.issuenumberpt_BR
dc.description.firstpage169pt_BR
dc.description.lastpage183pt_BR
dc.rightsfechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.issn01679473pt_BR
dc.identifier.doi10.1016/j.csda.2015.12.003pt_BR
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84960894076&partnerID=40&md5=0616a02cabc05edbd5069b7cc2af3027pt_BR
dc.description.sponsorship309086/2009 64, CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.date.available2016-12-06T17:44:11Z-
dc.date.accessioned2016-12-06T17:44:11Z-
dc.description.provenanceMade available in DSpace on 2016-12-06T17:44:11Z (GMT). No. of bitstreams: 1 2-s2.0-84960894076.pdf: 607198 bytes, checksum: 1e7062a65881645c18d700c38e0a44cd (MD5) Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/319502-
dc.identifier.idScopus2-s2.0-84960894076pt_BR
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
2-s2.0-84960894076.pdf592.97 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.