Bayesian Inference of Burr Type VIII Distribution Based on Censored Samples

Abstract EN

This paper is concerned with estimation of the parameter of Burr type VIII distribution under a Bayesian framework using censored samples.

The Bayes estimators and associated risks have been derived under the assumption of five priors and three loss functions.

The comparison among the performance of different estimators has been made in terms of posterior risks.

A simulation study has been conducted in order to assess and compare the performance of different estimators.

The study proposes the use of inverse Levy prior based on quadratic loss function for Bayes estimation of the said parameter.