Title:
Bayesian estimation of inverted exponential distribution based on record values

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dc.contributor.authorPradeep Kr. Vishwakarma
dc.contributor.authorUmesh Singh
dc.contributor.authorSanjay Kumar Singh
dc.date.accessioned2026-02-07T08:33:03Z
dc.date.issued2017
dc.description.abstractIn the present study, we propose Bayes estimators of parameter, reliability and hazard function for inverted exponential distribution (IED) under different loss functions based on record values. For this purpose, we have used both informative and non-informative priors. A Monte Carlo simulation study is carried out to compare the performance of proposed estimators with corresponding maximum likelihood estimators (MLEs) in terms of their simulated risks. © ISOSS Publications 2017.
dc.identifier.issn19306792
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/31238
dc.publisherISOSS Publications
dc.subjectBayes estimator
dc.subjectHazard function
dc.subjectLINEX loss function
dc.subjectMaximum likelihood estimator
dc.subjectMonte-Carlo simulations
dc.subjectRecord values
dc.subjectReliability function
dc.subjectSquared error loss function
dc.titleBayesian estimation of inverted exponential distribution based on record values
dc.typePublication
dspace.entity.typeArticle

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2017
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