Bayesian Estimation for the Transmuted Exponentiated Lomax Distribution under Progressive Type-II Censoring Scheme

Abstract

In this paper, we have developed Maximum likelihood and Bayesian estimates
for Transmuted Exponentiated Lomax Distribution under progressively
type-II censoring scheme. We have obtained maximum likelihood estimates of
the parameters along with the asymptotic condence intervals. We have obtained
Bayes estimates, credible intervals and highest posterior density intervals of parameters
using Gibbs samplers. Finally, for numerical illustrations simulation
study is performed.