Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.

In 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...

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Autores principales: Francisco Louzada, José A Cuminato, Oscar M H Rodriguez, Vera L D Tomazella, Paulo H Ferreira, Pedro L Ramos, Eder A Milani, Gustavo Bochio, Ivan C Perissini, Oilson A Gonzatto Junior, Alex L Mota, Luis F A Alegría, Danilo Colombo, Eduardo A Perondi, André V Wentz, Anselmo L Silva Júnior, Dante A C Barone, Hugo F L Santos, Marcus V C Magalhães
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/f1762016c4b34224b722f68ef584eb47
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spelling oai:doaj.org-article:f1762016c4b34224b722f68ef584eb472021-12-02T20:18:16ZImproved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.1932-620310.1371/journal.pone.0255944https://doaj.org/article/f1762016c4b34224b722f68ef584eb472021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255944https://doaj.org/toc/1932-6203In 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.Francisco LouzadaJosé A CuminatoOscar M H RodriguezVera L D TomazellaPaulo H FerreiraPedro L RamosEder A MilaniGustavo BochioIvan C PerissiniOilson A Gonzatto JuniorAlex L MotaLuis F A AlegríaDanilo ColomboEduardo A PerondiAndré V WentzAnselmo L Silva JúniorDante A C BaroneHugo F L SantosMarcus V C MagalhãesPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255944 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Francisco Louzada
José A Cuminato
Oscar M H Rodriguez
Vera L D Tomazella
Paulo H Ferreira
Pedro L Ramos
Eder A Milani
Gustavo Bochio
Ivan C Perissini
Oilson A Gonzatto Junior
Alex L Mota
Luis F A Alegría
Danilo Colombo
Eduardo A Perondi
André V Wentz
Anselmo L Silva Júnior
Dante A C Barone
Hugo F L Santos
Marcus V C Magalhães
Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
description In 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.
format article
author Francisco Louzada
José A Cuminato
Oscar M H Rodriguez
Vera L D Tomazella
Paulo H Ferreira
Pedro L Ramos
Eder A Milani
Gustavo Bochio
Ivan C Perissini
Oilson A Gonzatto Junior
Alex L Mota
Luis F A Alegría
Danilo Colombo
Eduardo A Perondi
André V Wentz
Anselmo L Silva Júnior
Dante A C Barone
Hugo F L Santos
Marcus V C Magalhães
author_facet Francisco Louzada
José A Cuminato
Oscar M H Rodriguez
Vera L D Tomazella
Paulo H Ferreira
Pedro L Ramos
Eder A Milani
Gustavo Bochio
Ivan C Perissini
Oilson A Gonzatto Junior
Alex L Mota
Luis F A Alegría
Danilo Colombo
Eduardo A Perondi
André V Wentz
Anselmo L Silva Júnior
Dante A C Barone
Hugo F L Santos
Marcus V C Magalhães
author_sort Francisco Louzada
title Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
title_short Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
title_full Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
title_fullStr Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
title_full_unstemmed Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime.
title_sort improved objective bayesian estimator for a plp model hierarchically represented subject to competing risks under minimal repair regime.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/f1762016c4b34224b722f68ef584eb47
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