A Comparative Study OfDifferent Probability Estimation Methods For ML Estimation Based On Two Parameters Of Lomax Distribution

Abstract

In this study, a comparison of performance using different values of ????shape parameter and ????scale parameter among four different methods Chegodayev, Blom, Gringorten, and VSastry Ch estimator the parameters of Lomax distribution was done.  The aim is to find the best methods of estimating the two parameter Lomax distribution.  These methods are compared in terms of their fits using the Log-Likehood value and the Mean Square Error (MSE) criteria to select the best method.Results show that the VSastry Ch (VSCH) is the better of the methods.