Estimation of the Parameters by Using non-Bayesian in Modified Weibull Extension Distribution

Abstract

In this paper, studying the modified Weibull extension model, and derive the estimators of three parameters by using maximum likelihood method, and ordinary least squares estimator method. Then by utilizing Monte Carlo method in simulation procedure for generate many various of samples sizes with many various of replicate the sample size. Finally, finding that the maximum likelihood method are the best values from the ordinary least squares method.