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dc.contributor.authorLouzada Neto, Franciscopt_BR
dc.contributor.authorCuminato, José Albertopt_BR
dc.contributor.authorRodriguez, Oscar Mauricio Hernandezpt_BR
dc.contributor.authorTomazella, Vera Lucia Damascenopt_BR
dc.contributor.authorFerreira, Paulo Henriquept_BR
dc.contributor.authorRamos, Pedro Lutzpt_BR
dc.contributor.authorMilani, Eder Angelopt_BR
dc.contributor.authorBochio, Gustavopt_BR
dc.contributor.authorPerissini, Ivan Carlospt_BR
dc.contributor.authorGonzatto Junior, Oilson Albertopt_BR
dc.contributor.authorMota, Alex Lealpt_BR
dc.contributor.authorAlegría, Luis Felipe Acunapt_BR
dc.contributor.authorColombo, Danilopt_BR
dc.contributor.authorPerondi, Eduardo Andrépt_BR
dc.contributor.authorWentz, André Viegaspt_BR
dc.contributor.authorSilva Junior, Anselmo Luís dapt_BR
dc.contributor.authorBarone, Dante Augusto Coutopt_BR
dc.contributor.authorSantos, Hugo Francisco Lisboapt_BR
dc.contributor.authorMagalhães, Marcus Vinicius de Campospt_BR
dc.date.accessioned2023-11-24T03:23:35Zpt_BR
dc.date.issued2021pt_BR
dc.identifier.issn1932-6203pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/267548pt_BR
dc.description.abstractIn this paper, we propose a hierarchical statistical model for a single repairable system subject to several failure modes (competing risks). The paper describes how complex engineered systems may be modelled hierarchically by use of Bayesian methods. It is also assumed that repairs are minimal and each failure mode has a power-law intensity. Our proposed model generalizes another one already presented in the literature and continues the study initiated by us in another published paper. Some properties of the new model are discussed. We conduct statistical inference under an objective Bayesian framework. A simulation study is carried out to investigate the efficiency of the proposed methods. Finally, our methodology is illustrated by two practical situations currently addressed in a project under development arising from a partnership between Petrobras and six research institutes.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofPloS one. San Francisco : Public Library of Science. Vol. 16, no. 8 (Ago. 2021), e0255944, 25 p.pt_BR
dc.rightsOpen Accessen
dc.subjectEstatísticapt_BR
dc.subjectInferência bayesianapt_BR
dc.subjectPoços de petróleopt_BR
dc.titleImproved objective bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regimept_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001178049pt_BR
dc.type.originEstrangeiropt_BR


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