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dc.contributor.authorNavarro, J.
dc.contributor.authorArriaza Gómez, Antonio Jesús 
dc.contributor.authorSuárez Llorens, Alfonso 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2024-06-17T11:16:48Z
dc.date.available2024-06-17T11:16:48Z
dc.date.issued2024
dc.identifier.issn1520-6750
dc.identifier.issn0894-069X
dc.identifier.urihttp://hdl.handle.net/10498/32602
dc.description.abstractThe article is focused on studying how to predict the failure times of coherent systems from the early failure times of their components. Both the cases of independent and dependent components are considered by assuming that they are identically distributed (homogeneous components). The heterogeneous components' case can be addressed similarly but more complexly. The present study is for non-repairable systems, but the information obtained could be used to decide if a maintenance action should be carried out at time (Formula presented.). Different cases are considered regarding the information available at time (Formula presented.). We use quantile regression techniques to predict the system failure times and to provide prediction intervals. The theoretical results are applied to specific system structures in some illustrative examples.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley and Sonses_ES
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceNaval Research Logistics - 2024, pp.1-18es_ES
dc.subjectCoherent systemses_ES
dc.subjectCopula functionses_ES
dc.subjectDistortion functionses_ES
dc.subjectQuantile regressiones_ES
dc.subjectResidual lifetimeses_ES
dc.titlePredicting failure times of coherent systemses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.description.physDesc18 páginases_ES
dc.identifier.doi10.1002/nav.22169
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116216GB-I00/ES/ORDENACIONES ESTOCASTICAS DE RIESGOS MULTIVARIANTES Y SISTEMAS COHERENTES: MODELOS Y APLICACIONES/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103971GB-I00/ES/ORDENACIONES ESTOCASTICAS BAJO DEPENDENCIA: TEORIA, INFERENCIA Y APLICACIONES/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//FEDER-UCA18-107519es_ES
dc.type.hasVersionVoRes_ES


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Atribución-NoComercial 4.0 Internacional
This work is under a Creative Commons License Atribución-NoComercial 4.0 Internacional