Maximum Likelihood Estimation, one of the most classical methods of finding estimator which has been well accepted to yield estimators with required basic properties in statistics science. Based on the joint probability function of sampled data, the relevant likelihood function is constructed and consequently, when likelihood principle is valid, the required estimator is derived. Maximum Likelihood estimators could be either in explicit forms, or may be obtained directly from the relevant likelihood function through appropriate computational techniques.