Objective bayesian analysis for multiple repairable systems

Simple item page
dc.contributor.authorD'Andrea, Amanda M. E.
dc.contributor.authorTomazella, Vera L. D.
dc.contributor.authorAljohani, Hassan M.
dc.contributor.authorRamos, Pedro L.
dc.contributor.authorAlmeida, Marco P.
dc.contributor.authorLouzada, Francisco
dc.contributor.authorVerssani, Bruna A. W.
dc.contributor.authorGazon, Amanda B.
dc.contributor.authorAfify, Ahmed Z.
dc.date.accessioned2025-01-20T22:02:34Z
dc.date.available2025-01-20T22:02:34Z
dc.date.issued2021
dc.description.abstractThis article focus on the analysis of the reliability of multiple identical systems that can have multiple failures over time. A repairable system is defined as a system that can be restored to operating state in the event of a failure. This work under minimal repair, it is assumed that the failure has a power law intensity and the Bayesian approach is used to estimate the unknown parameters. The Bayesian estimators are obtained using two objective priors know as Jeffreys and reference priors. We proved that obtained reference prior is also a matching prior for both parameters, i.e., the credibility intervals have accurate frequentist coverage, while the Jeffreys prior returns unbiased estimates for the parameters. To illustrate the applicability of our Bayesian estimators, a new data set related to the failures of Brazilian sugar cane harvesters is considered.
dc.description.funderTaif University Researchers Supporting Project
dc.fuente.origenWOS
dc.identifier.doi10.1371/journal.pone.0258581
dc.identifier.issn1932-6203
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0258581
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93987
dc.identifier.wosidWOS:000755756800007
dc.issue.numero11
dc.language.isoen
dc.revistaPlos one
dc.rightsacceso restringido
dc.titleObjective bayesian analysis for multiple repairable systems
dc.typeartículo
dc.volumen16
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
Files
Collections
Artículos de revistas