E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data

Abstract

This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter. The Bayesian and E-Bayesian estimators are obtained under squared error and LINEX loss functions. A comparison between E-Bayesian method and corresponding Bayes and maximum likelihood methods is presented using the Monte Carlo simulation study.

Keywords

• Rayleigh distribution; Progressive type-II censoring; Bayesian estimation; E-Bayesian estimation.