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Article: A frailty model for detecting number of faults in a system

TitleA frailty model for detecting number of faults in a system
Authors
KeywordsCapture-recapture
Conditional likelihood
Fault detection
Jelinski-Moranda
Littlewood
Removal experiment
Issue Date2002
PublisherAcademia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/
Citation
Statistica Sinica, 2002, v. 12 n. 4, p. 1001-1013 How to Cite?
AbstractA frailty model for failure data is proposed to estimate the total number of faults in a system. The Littlewood model and Jelinski-Moranda are the two particular cases of the proposed formulation. The two-stage estimating procedure, a conditional likelihood and a Horvitz-Thompson estimator, is found to be efficient. Simulation studies are given to assess the performance of the estimator. Two examples are also presented.
Persistent Identifierhttp://hdl.handle.net/10722/45360
ISSN
2015 Impact Factor: 0.838
2015 SCImago Journal Rankings: 2.292
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_HK
dc.contributor.authorYip, PSFen_HK
dc.contributor.authorHayakawa, Yen_HK
dc.date.accessioned2007-10-30T06:23:44Z-
dc.date.available2007-10-30T06:23:44Z-
dc.date.issued2002en_HK
dc.identifier.citationStatistica Sinica, 2002, v. 12 n. 4, p. 1001-1013en_HK
dc.identifier.issn1017-0405en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45360-
dc.description.abstractA frailty model for failure data is proposed to estimate the total number of faults in a system. The Littlewood model and Jelinski-Moranda are the two particular cases of the proposed formulation. The two-stage estimating procedure, a conditional likelihood and a Horvitz-Thompson estimator, is found to be efficient. Simulation studies are given to assess the performance of the estimator. Two examples are also presented.en_HK
dc.format.extent175552 bytes-
dc.format.extent3382 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherAcademia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/en_HK
dc.relation.ispartofStatistica Sinicaen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCapture-recaptureen_HK
dc.subjectConditional likelihooden_HK
dc.subjectFault detectionen_HK
dc.subjectJelinski-Morandaen_HK
dc.subjectLittlewooden_HK
dc.subjectRemoval experimenten_HK
dc.titleA frailty model for detecting number of faults in a systemen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1017-0405&volume=12&issue=4&spage=1001&epage=1013&date=2002&atitle=A+frailty+model+for+detecting+number+of+faults+in+a+systemen_HK
dc.identifier.emailYip, PSF: sfpyip@hku.hken_HK
dc.identifier.authorityYip, PSF=rp00596en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-0036822201en_HK
dc.identifier.hkuros82347-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036822201&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume12en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1001en_HK
dc.identifier.epage1013en_HK
dc.publisher.placeTaiwan, Republic of Chinaen_HK
dc.identifier.scopusauthoridWang, Y=7601516613en_HK
dc.identifier.scopusauthoridYip, PSF=7102503720en_HK
dc.identifier.scopusauthoridHayakawa, Y=7201356213en_HK

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