The Estimation Methods of the Standard Wald Distribution Parameter

In this paper we study of the performances of the methods for the estimation of the standard Wald distribution parameter. There are three estimation methods as follows: the maximum likelihood method, the adjusted parameter with term n 2/ n and the adjusted parameter with term n /n 2 . These methods are compared in terms of the absolute bias and the mean square errors. The comparison is based on the Monte Carlo simulation. Results of the simulation studies show that the maximum likelihood method outperforms the other methods where the estimator close to the parameter whereas the adjusted parameter with term n 2/ n outperforms the other methods where the estimator is greater than the parameter. While, the adjusted parameter with term n /n 2 outperforms the other methods where the estimator is less than the parameter. Keywords - Maximum Likelihood Estimate, Parameter Estimation, Standard Wald Distribution.