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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCOUALLIER, Vincent
dc.contributor.authorBABYKINA, Génia
dc.date.accessioned2024-04-04T02:18:37Z
dc.date.available2024-04-04T02:18:37Z
dc.date.created2012
dc.date.issued2014
dc.identifier.issn0973-1318
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189331
dc.description.abstractEnThe paper deals with the statistical analysis of repeated failures in Water Distribution Systems, affected by a time-dependent covariate. Several systems observed over a given time period are considered. A model formulated in the counting process framework is employed. This model accounts for aging of systems, harmful repairs and covariates. Practical issues in maximum likelihood parameter estimations in the presence of a calendar time-dependent covariate are discussed. The proposed methodology is applied to a real dataset. It is shown that the integration of a calendar time-dependent covariate to the model improves the quality of estimates.
dc.language.isoen
dc.publisherTotem Publisher, Inc.
dc.subject.encounting process
dc.subject.enstochastic intensity
dc.subject.enlikelihood inference
dc.subject.enrecurrent events
dc.subject.enharmful repair
dc.subject.entime-dependent covariate
dc.title.enModelling Pipe Failures in Water Distribution Systems: Accounting for Harmful Repairs and a Time-dependent Covariate.
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.journalInternational Journal of Performability Engineering
bordeaux.pagepp. 41-52
bordeaux.volume10
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00967881
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00967881v1
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