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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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) |
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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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