E-Bayesian estimation of the shape parameter of Lomax model under symmetric and asymmetric loss functions

Abstract

This article is concerned with using the E-Bayesian method for computing estimates of the unknown parameter of Lomax distribution. These estimates are derived based on a conjugate prior for the parameter under squared error loss function and Linex loss function. A comparison between this method and the corresponding Bayes and maximum likelihood techniques is conducted using Monte Carlo simulation.