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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampLachos Dávila, Víctor Hugo-
dc.typeArtigopt_BR
dc.titleBayesian analysis of skew-t multivariate null intercept measurement error modelpt_BR
dc.contributor.authorLachos, Victor H.-
dc.contributor.authorCancho, Vicente G.-
dc.contributor.authorAoki, Reiko-
dc.subjectAlgoritmo de Gibbspt_BR
dc.subject.otherlanguageGibbs algorithmpt_BR
dc.description.abstractThe multivariate skew-t distribution (J Multivar Anal 79:93–113, 2001; J R Stat Soc, Ser B 65:367–389, 2003; Statistics 37:359–363, 2003) includes the Student t, skew-Cauchy and Cauchy distributions as special cases and the normal and skew–normal ones as limiting cases. In this paper, we explore the use of Markov Chain Monte Carlo (MCMC) methods to develop a Bayesian analysis of repeated measures, pretest/post-test data, under multivariate null intercept measurement error model (J Biopharm Stat 13(4):763–771, 2003) where the random errors and the unobserved value of the covariate (latent variable) follows a Student t and skew-t distribution, respectively. The results and methods are numerically illustrated with an example in the field of dentistrypt_BR
dc.relation.ispartofStatistical paperspt_BR
dc.publisher.cityHeidelbergpt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2010-
dc.date.monthofcirculationSept.pt_BR
dc.language.isoengpt_BR
dc.description.volume51pt_BR
dc.description.firstpage531pt_BR
dc.description.lastpage545pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0932-5026pt_BR
dc.identifier.eissn1613-9798pt_BR
dc.identifier.doi10.1007/s00362-008-0138-zpt_BR
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00362-008-0138-zpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumberSem informaçãopt_BR
dc.date.available2020-08-28T21:29:03Z-
dc.date.accessioned2020-08-28T21:29:03Z-
dc.description.provenanceSubmitted by Thais de Brito Barroso (tbrito@unicamp.br) on 2020-08-28T21:29:03Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-04T15:14:39Z : No. of bitstreams: 1 000281167100003.pdf: 322046 bytes, checksum: 5770f50ec67cfe402874fad80e8a3919 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-08-28T21:29:03Z (GMT). No. of bitstreams: 0 Previous issue date: 2010en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/348321-
dc.contributor.departmentDepartamento de Estatísticapt_BR
dc.contributor.unidadeInstituto de Matemática, Estatística e Computação Científicapt_BR
dc.subject.keywordSkew-t distributionpt_BR
dc.subject.keywordMetropolis-Hastingpt_BR
dc.subject.keywordSkewnesspt_BR
dc.subject.keywordMultivariate null intercepts modelpt_BR
dc.subject.keywordMeasurement errorpt_BR
dc.identifier.source000281167100003pt_BR
dc.creator.orcid0000-0002-7239-2459pt_BR
dc.type.formArtigopt_BR
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