Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/389
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dc.contributor.authorJovanović, Milanen_US
dc.date.accessioned2022-08-10T20:05:39Z-
dc.date.available2022-08-10T20:05:39Z-
dc.date.issued2017-04-21-
dc.identifier.issn03610918en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/389-
dc.description.abstractThis article deals with the estimation of R = P{X < Y}, where X and Y are independent random variables from geometric and exponential distribution, respectively. For complete samples, the MLE of R, its asymptotic distribution, and confidence interval based on it are obtained. The procedure for deriving bootstrap-p confidence interval is presented. The UMVUE of R and UMVUE of its variance are derived. The Bayes estimator of R is investigated and its Lindley's approximation is obtained. A simulation study is performed in order to compare these estimators. Finally, all point estimators for right censored sample from the exponential distribution, are obtained.en_US
dc.relation.ispartofCommunications in Statistics: Simulation and Computationen
dc.subjectBayes estimatoren_US
dc.subjectBootstrap confidence intervalen_US
dc.subjectCensored dataen_US
dc.subjectExponential distributionen_US
dc.subjectGeometric distributionen_US
dc.subjectLindley's approximationen_US
dc.subjectMaximum likelihood estimatoren_US
dc.subjectStress–strengthen_US
dc.subjectUniformly minimum variance unbiased estimatoren_US
dc.titleEstimation of P{X < Y} for geometric—exponential model based on complete and censored samplesen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/03610918.2015.1073302-
dc.identifier.scopus2-s2.0-85006957230-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85006957230-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.description.rankM23en_US
dc.relation.firstpage3050en
dc.relation.lastpage3066en
dc.relation.volume46en
dc.relation.issue4en
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
crisitem.author.deptProbability and Mathematical Statistics-
crisitem.author.orcid0000-0001-5512-0956-
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