普通最小二乘法是最好的做法，看到的结果。
Ordinary Least Square method is the best practices to see the results.
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。
We often estimate the return model parameter by ordinary least squares and maximum likelihood.
对 普通最小二乘法和加权最小二乘法在不等重复单因素系统分组试验中的分析效果进行了比较研究。
In this paper, the effects of OLS method and WLS method in analysis of one-way nested design with unequal subclass numbers are examined.
非观测效应，以及样本选择偏差和测量误差所引发的内生性问题对结果的影响很大，导致普通最小二乘法低估了我国的教育收益率。
The study also finds that unobserved effects, sample selection bias and measurement errors play important role on results, and OLS really underestimates yield of schooling.
非观测效应，以及样本选择偏差和测量误差所引发的内生性问题对结果的影响很大，导致普通最小二乘法低估了我国的教育收益率。
The study also finds that unobserved effects, sample selection bias and measurement errors play important role on results, and OLS really underestimates yield of schooling.
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