E-Bayesian inference for xgamma distribution under progressive type II censoring with binomial removals and their applications

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dc.contributor.authorPathak A.
dc.contributor.authorKumar M.
dc.contributor.authorSingh S.K.
dc.contributor.authorSingh U.
dc.contributor.authorTiwari M.K.
dc.contributor.authorKumar S.
dc.date.accessioned2025-01-13T07:09:30Z
dc.date.available2025-01-13T07:09:30Z
dc.date.issued2024
dc.description.abstractIn this article, we propose E-Bayes estimators of the parameter of xgamma distribution under squared error loss function, general entropy loss function, and linear exponential loss function for progressive type II censored data with binomial removals. The proposed estimators, maximum likelihood estimator, and corresponding Bayes estimators are compared in terms of their risks based on simulated samples from xgamma distribution. The proposed methodology is illustrated on two real data sets of bile duct cancer data and the endurance of deep-groove ball bearings data. � 2023 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.doi10.1080/02286203.2022.2161744
dc.identifier.issn2286203
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/3723
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.subjectbootstrap
dc.subjectE-Bayes inference
dc.subjectMLE
dc.subjectPT II CBRs
dc.subjectxgamma
dc.titleE-Bayesian inference for xgamma distribution under progressive type II censoring with binomial removals and their applications
dc.typeArticle
journal.titleInternational Journal of Modelling and Simulation
journalvolume.identifier.volume44

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