We often estimate the return model parameter by ordinary least squares and maximum likelihood.
对回归模型进行参数估计时，常用的两种重要方法是普通最小二乘法和最大似然法。
Superiority of this approach over ordinary M-estimates and least squares results is demonstrated with a small example.
通过一个简单的例子，说明了这种方法比普通的M -估计以及最小二乘结果更加优越。
Superiority of this approach over ordinary M-estimates and least squares results is demonstrated with a small example.
通过一个简单的例子，说明了这种方法比普通的M -估计以及最小二乘结果更加优越。
应用推荐