Posterior Analysis of Burr Type V Distribution under Different Types of Censoring

Abstract

This paper aims to discuss the Bayesian Analysis of Burr Type V Distribution based on Left, Singly Type II and Doubly Type II censored samples. The Bayes Point and Interval Estimators of the parameter for the said Distribution have been derived under four Priors (Informative and Non-informative) using a couple of Loss Functions. The Posterior Predictive Intervals have also been constructed. The performance of the Bayes Estimators has been compared under a Simulation study. A real life data set has also been analyzed for illustration. The results indicate that the performance of the estimates under Inverse Levy Prior based on Generalized Entropy Loss Function using Singly Type II censored samples is superior to their counter-parts.