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Bayesian Estimation for Exponentiated Gamma Distribution Under Progressive Type-II Censoring Using Different Approximation Techniques
Volume 13, Issue 3 (2015), pp. 551–568
Sanjay Kumar Singh   Umesh Singh   Abhimanyu Singh Yadav  

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https://doi.org/10.6339/JDS.201507_13(3).0008
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

In this paper, we proposed the Bayesian estimation for the parameter and reliability function of exponentiated gamma distribution under progressive type-II censored samples. The Bayes estimate of the parameter and reliability function are derived under the assumption of independent gamma prior by three different approximation methods namely Lindley’s approximation, Tierney-Kadane and Markov Chain Monte Carlo methods. Further, the comparison of Bayes estimators with corresponding maximum likelihood estimators have been carried out through simulation study. Finally, a real data set has been used to illustrate the above study in realistic phenomenon.

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Keywords
Exponentiated Gamma distribution Progressive Censoring Lindley’s approximation T-K approximation MCMC technique

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