Risk Efficiencies of Empirical Bayes and Generalized MaximumLikelihood Estimates for Rayleigh Model under Censored Data

dc.contributor.authorBarot, Dinesh
dc.date.accessioned2025-05-09T10:00:41Z
dc.date.available2025-05-09T10:00:41Z
dc.date.issued2014-01-01
dc.descriptionOpen Access
dc.description.abstractThe comparison of empirical Bayes and generalized maximum likelihood estimates of reliability performances is made in termsof risk efficiencies when the data are progressively Type II censored from Rayleigh distribution. The empirical Bayes estimatesare obtained using an asymmetric loss function. The risk functions of the estimates and risk efficiencies are obtained under thisloss function. A real data set is presented to illustrate the proposed comparison method, and the performance of the estimates isexamined and compared in terms of risk efficiencies by means of Monte Carlo simulations. The simulation results indicate that theproposed empirical Bayes estimates are more preferable than the generalized maximum likelihood estimates
dc.identifier.citationBarot, D., & Patel, M. (2014). Risk Efficiencies of Empirical Bayes and Generalized Maximum Likelihood Estimates for Rayleigh Model under Censored Data. Journal of Probability and Statistics, 2014(1), 809706. https://doi.org/https://doi.org/10.1155/2014/809706
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1155/2014/809706
dc.identifier.urihttps://ir.ahduni.edu.in/handle/123456789/4153
dc.language.isoen
dc.publisherHindawi Publishing Corporation
dc.titleRisk Efficiencies of Empirical Bayes and Generalized MaximumLikelihood Estimates for Rayleigh Model under Censored Data
dc.typeArticle

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