Bayesian Inference in Dependent Right Censoring

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dc.contributor.authorNasser Davarzani
dc.contributor.authorAhmad Parsian
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:01:10Z
dc.date.available2026-03-22T15:01:10Z
dc.date.issued2010
dc.descriptionCitaciones: 12
dc.description.abstractIn this article, we consider dependent right censoring when the lifetime and censoring variables have a Marshall–Olkin bivariate exponential distribution and obtain MLEs, MMEs and UMVUEs of the unknown parameters. The Bayes estimators as well as the Posterior Regret Gamma Minimax (PRGM) estimators of the parameters of interest under the SEL function are also obtained and a Monte Carlo simulation study is carried out to compare these estimators.
dc.identifier.doi10.1080/03610920902878839
dc.identifier.urihttps://doi.org/10.1080/03610920902878839
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/49904
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofCommunication in Statistics- Theory and Methods
dc.sourcePayame Noor University
dc.subjectCensoring (clinical trials)
dc.subjectEstimator
dc.subjectRegret
dc.subjectStatistics
dc.subjectMathematics
dc.subjectBayes' theorem
dc.subjectMonte Carlo method
dc.subjectExponential distribution
dc.subjectBivariate analysis
dc.subjectEconometrics
dc.titleBayesian Inference in Dependent Right Censoring
dc.typearticle

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