ESTIMATION OF P(Y < X) FOR DISTRIBUTIONS HAVING POWER HAZARD FUNCTION

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dc.contributor.authorKinaci, Ismail
dc.date.accessioned2020-03-26T18:50:33Z
dc.date.available2020-03-26T18:50:33Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper, the stress-strength reliability is obtained when the underlying distribution has power hazard function. Maximum likelihood and uniformly minimum variance unbiased estimate of the stress-strength reliability are derived and various distributional properties of these estimates are discussed. Exact and asymptotic confidence intervals for the stress-strength reliability are constructed. Simulation study is also performed to investigate the coverage probabilities of these intervals.en_US
dc.identifier.endpage70en_US
dc.identifier.issn1012-9367en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage57en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30832
dc.identifier.volume30en_US
dc.identifier.wosWOS:000340084600004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherISOSS PUBLen_US
dc.relation.ispartofPAKISTAN JOURNAL OF STATISTICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectCoverage probabilityen_US
dc.subjectStress-strength reliabilityen_US
dc.subjectPower hazard functionen_US
dc.subjectMinimum variance unbiased estimationen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectConfidence intervalen_US
dc.titleESTIMATION OF P(Y < X) FOR DISTRIBUTIONS HAVING POWER HAZARD FUNCTIONen_US
dc.typeArticleen_US

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