Some Methods to Estimate the Parameters of Generalized Exponential Rayleigh Model by Simulation

Abstract

This paper shews how to estimate the parameter of generalized exponential Rayleigh (GER) distribution by three estimation methods. The first one is maximum likelihood estimator method the second one is moment employing estimation method (MEM), the third one is rank set sampling estimator method (RSSEM)The simulation technique is used for all these estimation methods to find the parameters for generalized exponential Rayleigh distribution. Finally using the mean squares error criterion to compare between these estimation methods to find which of these methods are best to the others

Keywords

• Maximum Likelihood Estimator Method, Moment estimator method, and Rank Set Sampling Estimator Method