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Integration of time-dependent covariates in recurrent events modelling: application to failures on drinking water networks

hal.structure.identifierCentre recherche et développement [LyRE]
dc.contributor.authorCLAUDIO, Karim
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCOUALLIER, Vincent
hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorLE GAT, Yves
dc.date.accessioned2024-04-04T03:21:31Z
dc.date.available2024-04-04T03:21:31Z
dc.date.created2013
dc.date.issued2014
dc.identifier.issn1962-5197
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194664
dc.description.abstractEnThe standard Linear Extended Yule Process is a well-adapted stochastic model for water pipes failure modelling, as it takes into account the past number of pipe failures, the ageing and the effects of covariates in the failure rate. But fluctuations of failures along time in water network show the limits of the model, which does not consider time-dependent covariates, like frost effect. An improvement of the model actually used in a standard tool such as {\it PREVOIR$\copyright$ Canalisation} is therefore proposed that considers a time dependent covariate. This allows for dramatically improving the predictions of the number of pipe failures according to the climate.
dc.language.isoen
dc.publisherSociété Française de Statistique et Société Mathématique de France
dc.subject.enDynamical intensity of counting process
dc.subject.enLinear Extension of Yule Process (LEYP)
dc.subject.enTime-dependent covariate
dc.subject.enwater network failure models
dc.title.enIntegration of time-dependent covariates in recurrent events modelling: application to failures on drinking water networks
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.journalJournal de la Société Française de Statistique
bordeaux.page62-77
bordeaux.volume155
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01026139
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01026139v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20de%20la%20Socie%CC%81te%CC%81%20Franc%CC%A7aise%20de%20Statistique&rft.date=2014&rft.volume=155&rft.issue=3&rft.spage=62-77&rft.epage=62-77&rft.eissn=1962-5197&rft.issn=1962-5197&rft.au=CLAUDIO,%20Karim&COUALLIER,%20Vincent&LE%20GAT,%20Yves&rft.genre=article


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