Reliability Estimation for Marshall-Olkin Extended Exponential Distribution under Type-II Censored Data Using Markov Chain Monte Carlo Technique

摘要

In this paper, we consider the estimation procedure for the parameters and reliability function of Marshall-Olkin extended exponential (MOEE) distribution under Type-II censoring scheme. The Bayes estimators of the parameters and Reliability function are obtained under squared error loss function (SELF) using Markov Chain Monte Carlo method. Further, we have also constructed 95% asymptotic confidence intervals and highest posterior density intervals for the parameters. Comparison of the estimators are made through simulation studies. A real data set has been considered for illustrative purpose of the study.