Abstract

This paper develops the Bayesian estimators for the unknown parameters of Frechet distribution under different asymmetric loss functions. The Bayesian estimators cannot be obtained in closed forms. An approximate Bayesian approach is proposed using Lindley’s approximation to obtain the Bayesian estimates. The approximate Bayes estimates obtained under the assumption of non-informative priors are compared with their maximum likelihood estimates via Monte Carlo simulation study. Two real data sets are analyzed for illustrative purposes.

Author: Kamran Abbas and Yincai Tang

Received on: October, 2013

Accepted on: January, 2015