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Divergence-based robust inference under proportional hazards model for one-shot device life-test

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dc.contributor.authorBalakrishnan, Narayanaswamy
dc.contributor.authorCastilla González, Elena María
dc.contributor.authorMartín, N
dc.contributor.authorPardo Llorente, Leandro
dc.date.accessioned2023-06-17T08:29:33Z
dc.date.available2023-06-17T08:29:33Z
dc.date.issued2021
dc.description.abstractIn this paper, we develop robust estimators and tests for one-shot device testing under proportional hazards assumption based on divergence measures. Through a detailed Monte Carlo simulation study and a numerical example, the developed inferential procedures are shown to be more robust than the classical procedures, based on maximum likelihood estimators.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedFALSE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/74728
dc.identifier.doi10.1109/TR.2021.3062289
dc.identifier.issn0018-9529
dc.identifier.officialurlhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp/?punumber=24
dc.identifier.urihttps://hdl.handle.net/20.500.14352/7278
dc.issue.number4
dc.journal.titleIEEE Transactions on Reliability
dc.language.isoeng
dc.page.final1367
dc.page.initial1355
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rights.accessRightsopen access
dc.subject.cdu519.22
dc.subject.cdu519.245
dc.subject.keywordMonte-carlo simulation
dc.subject.keywordMathematical statistics
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleDivergence-based robust inference under proportional hazards model for one-shot device life-test
dc.typejournal article
dc.volume.number70
dspace.entity.typePublication
relation.isAuthorOfPublication9a67ded0-2436-44f5-bdc9-07033ae6f956
relation.isAuthorOfPublicationa6409cba-03ce-4c3b-af08-e673b7b2bf58
relation.isAuthorOfPublication.latestForDiscovery9a67ded0-2436-44f5-bdc9-07033ae6f956

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