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dc.contributor.authorSilvestre Bezerra, Manoel I.-
dc.contributor.authorMoala, Fernando Antonio-
dc.contributor.authorIano, Yuzo-
dc.date.accessioned2014-05-20T15:34:12Z-
dc.date.accessioned2016-10-25T18:10:46Z-
dc.date.available2014-05-20T15:34:12Z-
dc.date.available2016-10-25T18:10:46Z-
dc.date.issued2012-01-01-
dc.identifierhttp://dx.doi.org/10.1155/2012/565894-
dc.identifier.citationMathematical Problems In Engineering. New York: Hindawi Publishing Corporation, p. 15, 2012.-
dc.identifier.issn1024-123X-
dc.identifier.urihttp://hdl.handle.net/11449/42454-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/42454-
dc.description.abstractBezerra et al. (2008) proposed a new method, based on Yule-Walker equations, to estimate the ARMA spectral model. In this paper, a Bayesian approach is developed for this model by using the noninformative prior proposed by Jeffreys (1967). The Bayesian computations, simulation via MarkovMonte Carlo (MCMC) is carried out and characteristics of marginal posterior distributions such as Bayes estimator and confidence interval for the parameters of the ARMA model are derived. Both methods are also compared with the traditional least squares and maximum likelihood approaches and a numerical illustration with two examples of the ARMA model is presented to evaluate the performance of the procedures.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.description.sponsorshipRH-TVD-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.description.sponsorshipFaepex/Unicamp-
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)-
dc.format.extent15-
dc.language.isoeng-
dc.publisherHindawi Publishing Corporation-
dc.sourceWeb of Science-
dc.titleA Bayesian Analysis of Spectral ARMA Modelen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationUNESP, FCT, DEST, BR-19060900 Presidente Prudente, SP, Brazil-
dc.description.affiliationUniv Estadual Campinas, FEEC, DECOM, BR-13083852 Campinas, SP, Brazil-
dc.description.affiliationUnespUNESP, FCT, DEST, BR-19060900 Presidente Prudente, SP, Brazil-
dc.identifier.doi10.1155/2012/565894-
dc.identifier.wosWOS:000307666900001-
dc.rights.accessRightsAcesso aberto-
dc.identifier.fileWOS000307666900001.pdf-
dc.relation.ispartofMathematical Problems in Engineering-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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