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dc.contributor.authorGürler, Ü.en_US
dc.contributor.authorKvam, P.en_US
dc.date.accessioned2016-02-08T09:49:21Z
dc.date.available2016-02-08T09:49:21Z
dc.date.issued2011en_US
dc.identifier.issn0361-0926
dc.identifier.urihttp://hdl.handle.net/11693/21656
dc.description.abstractIn most reliability studies involving censoring, one assumes that censoring probabilities are unknown. We derive a nonparametric estimator for the survival function when information regarding censoring frequency is available. The estimator is constructed by adjusting the Nelson-Aalen estimator to incorporate censoring information. Our results indicate significant improvements can be achieved if available information regarding censoring is used. We compare this model to the Koziol-Green model, which is also based on a form of proportional hazards for the lifetime and censoring distributions. Two examples of survival data help to illustrate the differences in the estimation techniques.en_US
dc.language.isoEnglishen_US
dc.source.titleCommunications in Statistics - Theory and Methodsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/03610926.2010.513791en_US
dc.subjectHazard functionen_US
dc.subjectKaplan–Meier product-limit estimatoren_US
dc.subjectKoziol–Green modelen_US
dc.subjectNelson–Aalen estimatoren_US
dc.subjectStochastic precedenceen_US
dc.subjectHazardsen_US
dc.subjectFrequency estimationen_US
dc.titleAdjusted hazard rate estimator based on a known censoring probabilityen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage4409en_US
dc.citation.epage4416en_US
dc.citation.volumeNumber40en_US
dc.citation.issueNumber24en_US
dc.identifier.doi10.1080/03610926.2010.513791en_US
dc.publisherTaylor & Francisen_US
dc.identifier.eissn1532-415X


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