Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/156
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dc.contributor.authorJovanović, Milanen_US
dc.contributor.authorMilošević, Bojanaen_US
dc.contributor.authorObradović, Markoen_US
dc.contributor.authorVidović, Zoranen_US
dc.date.accessioned2022-08-06T16:46:15Z-
dc.date.available2022-08-06T16:46:15Z-
dc.date.issued2021-01-01-
dc.identifier.issn03545180en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/156-
dc.description.abstractIn this paper we estimate R = P{X < Y} when X and Y are independent random variables following the Peng-Yan extended Weibull distribution. We find maximum likelihood estimator of R and its asymptotic distribution. This asymptotic distribution is used to construct asymptotic confidence intervals. In the case of equal shape parameters, we derive the exact confidence intervals, too. A procedure for deriving bootstrap-p confidence intervals is presented. The UMVUE of R and the UMVUE of its variance are derived and also the Bayes point and interval estimator of R for conjugate priors are obtained. Finally, we perform a simulation study in order to compare these estimators and provide a real data example.en
dc.relation.ispartofFilomaten_US
dc.subjectBayes estimatoren
dc.subjectBootstrap confidence intervalsen
dc.subjectExtended Weibull distributionen
dc.subjectMaximum likelihood estimatoren
dc.subjectstress-strengthen
dc.subjectUMVUEen
dc.titleInference on reliability of stress-strength model with peng-yan extended weibull distributionsen_US
dc.typeArticleen_US
dc.identifier.doi10.2298/FIL2106927J-
dc.identifier.scopus2-s2.0-85120831550-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85120831550-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.relation.issn24060933en_US
dc.description.rankM22en_US
dc.relation.firstpage1927en_US
dc.relation.lastpage1948en_US
dc.relation.volume35en_US
dc.relation.issue6en_US
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptProbability and Mathematical Statistics-
crisitem.author.orcid0000-0001-5512-0956-
crisitem.author.orcid0000-0001-8243-9794-
crisitem.author.orcid0000-0002-6826-3232-
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