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dc.contributor.CRUESPUniversidade Estadual de Campinaspt_BR
dc.typeArtigo de periódicopt_BR
dc.titleMultivariate models for correlated count datapt_BR
dc.contributor.authorRodrigues-Motta, Mpt_BR
dc.contributor.authorPinheiro, HPpt_BR
dc.contributor.authorMartins, EGpt_BR
dc.contributor.authorAraujo, MSpt_BR
dc.contributor.authordos Reis, SFpt_BR
unicamp.author.emailmarianar@ime.unicamp.brpt_BR
unicamp.authorRodrigues-Motta, Mariana Pinheiro, Hildete P. Univ Estadual Campinas, Dept Stat, BR-13083859 Campinas, SP, Brazilpt_BR
unicamp.authorMartins, Eduardo G. Univ British Columbia, Ctr Appl Conservat Res, Dept Forest Sci, Vancouver, BC V6T 1Z4, Canadapt_BR
unicamp.authorMartins, Eduardo G. Carleton Univ, Inst Environm Sci, Dept Biol, Ottawa, ON K1S 5B6, Canadapt_BR
unicamp.authorAraujo, Marcio S. Univ Estadual Paulista, Dept Ecol, BR-13506900 Rio Claro, Brazilpt_BR
unicamp.authordos Reis, Sergio F. Univ Estadual Campinas, Dept Biol Anim, BR-13083862 Campinas, SP, Brazilpt_BR
dc.subjectmaximum likelihoodpt_BR
dc.subjectmixed modelpt_BR
dc.subjectmixture distributionpt_BR
dc.subjectmultivariate count datapt_BR
dc.subjectoverdispersionpt_BR
dc.subjectPoisson distributionpt_BR
dc.subjectnegative binomial distributionpt_BR
dc.subjectzero-inflated datapt_BR
dc.subject.wosMarsupial Gracilinanus-microtarsuspt_BR
dc.subject.wosBrazilian Cerradopt_BR
dc.subject.wosDidelphidaept_BR
dc.subject.wosRegressionpt_BR
dc.subject.wosAbundancept_BR
dc.subject.wosEcologypt_BR
dc.subject.wosZerospt_BR
dc.subject.wosDietpt_BR
dc.description.abstractIn this study, we deal with the problem of overdispersion beyond extra zeros for a collection of counts that can be correlated. Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial distributions have been considered. First, we propose a multivariate count model in which all counts follow the same distribution and are correlated. Then we extend this model in a sense that correlated counts may follow different distributions. To accommodate correlation among counts, we have considered correlated random effects for each individual in the mean structure, thus inducing dependency among common observations to an individual. The method is applied to real data to investigate variation in food resources use in a species of marsupial in a locality of the Brazilian Cerrado biome.pt
dc.relation.ispartofJournal Of Applied Statisticspt_BR
dc.relation.ispartofabbreviationJ. Appl. Stat.pt_BR
dc.publisher.cityAbingdonpt_BR
dc.publisher.countryInglaterrapt_BR
dc.publisherTaylor & Francis Ltdpt_BR
dc.date.issued2013pt_BR
dc.date.monthofcirculation37073pt_BR
dc.identifier.citationJournal Of Applied Statistics. Taylor & Francis Ltd, v. 40, n. 7, n. 1586, n. 1596, 2013.pt_BR
dc.language.isoenpt_BR
dc.description.volume40pt_BR
dc.description.issuenumber7pt_BR
dc.description.firstpage1586pt_BR
dc.description.lastpage1596pt_BR
dc.rightsfechadopt_BR
dc.rights.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asppt_BR
dc.sourceWeb of Sciencept_BR
unicamp.cruespUNESPpt_BR
dc.identifier.issn0266-4763pt_BR
dc.identifier.eissn1360-0532pt_BR
dc.identifier.wosidWOS:000320753900015pt_BR
dc.identifier.doi10.1080/02664763.2013.789098pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorship1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.date.available2014-08-01T18:40:25Z
dc.date.available2015-11-26T18:05:32Z-
dc.date.accessioned2014-08-01T18:40:25Z
dc.date.accessioned2015-11-26T18:05:32Z-
dc.description.provenanceMade available in DSpace on 2014-08-01T18:40:25Z (GMT). No. of bitstreams: 0 Previous issue date: 2013en
dc.description.provenanceMade available in DSpace on 2015-11-26T18:05:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2013en
dc.identifier.urihttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/82057
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/82057-
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