Estimations of unknown parameters, has been considered one of the most fundamental statistical problems and finding the best estimator has always been the main concern of statisticians. Some of estimating methods are the method of moment, maximum likelihood, least square and Bayesian methods. The adjusted method moment (AMM) is new method to estimate of unknown parameters in parametric statistical inference introduced by Soltani and Homei (2009) . To explain this method let be a random sample from a population with an arbitrary distribution function F , determined by certain unknown parameter s. It is defined, for every k=1, 2,…
