Bayesian Estimation of the Parameters and Reliability Measures of Nakagami Distribution

Abstract

The paper develops Bayesian estimators for the parameters and reliability measures of Nakagami distribution. Some new priors are introduced for the shape parameter of Nakagami distribution keeping in view the range of the parameter. Monte Carlo simulation study is conducted to compute the Bayes estimates along with their expected loss functions and corresponding Highest posterior density (HPD) credible intervals. Real life data set is also given for illustration purpose.