说明：  最大似然法（Maximum Likelihood，ML）也称为最大概似估计，也叫极大似然估计，是一种具有理论性的点估计法，此方法的基本思想是：当从模型总体随机抽取n组样本观测值后，最合理的参数估计量应该使得从模型中抽取该n组样本观测值的概率最大，而不是像最小二乘估计法旨在得到使得模型能最好地拟合样本数据的参数估计量。
(Maximum likelihood method (Maximum Likelihood, ML), also known as maximum likelihood estimation, also known as maximum likelihood estimation, is a kind of theoretical point estimation method, the basic idea of this method is: when random the overall model after the group n sample observations, the most reasonable parameter estimator should be such that the probability of drawing the sample set of n observations of the maximum the model, rather than least squares estimation method is designed to obtain such model that best fits the sample data parameter estimator.)