ON THE BAYESIAN ANALYSIS OF EXTENDED WEIBULL-GEOMETRIC DISTRIBUTION

  • Azeem Ali Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore, Pakistan
  • Sajid Ali Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
  • Shama Khaliq Punjab Bureau of Statistics, Lahore, Pakistan
Keywords: Extended Weibull Distribution, Mcmc, Bayes Estimator, Posterior Risk, Loss Function, Precautionary Loss Function

Abstract

The paper deals with the Bayes estimation of Extended Weibull-Geometric (EWG) distribution. In particular, we discuss Bayes estimators and their posterior risks using the noninformative and informative priors under different loss functions. Since the posterior summaries cannot be obtained analytically, we adopt Markov Chain Monte Carlo (MCMC) technique to assess the performance of Bayes estimates for different sample sizes. A real life example is also part of this study.

 

Published
2019-11-14
Section
Articles