Robust OLS Regression 稳健最小二乘法
OLS Regression Analysis OLS回归分析
Multivariable OLS Regression 多元OLS回归方法
Two-stage OLS regression 联立方乘组
But many economists use static OLS regression method to test Precautionary savings and Liquidity constraints hypo these and some of them mixed long-run and short-run.
乘法回归来检验流动性约束和预防性储蓄假说,并且没有区分长期消费与短期消费之间的关系。
Combining the new measure with the forward regression orthogonal least square (OLS), not only the parameters of the classification hyperplane, but also the important input nodes can be obtaind.
提出一种基于输入集分类函数的新的距离度量方法,它与前传回归的正交最小二乘法相结合,不仅可以学习分类超平面的参数,而且可以选择重要的输入节点。
After summarizing research actuality of quantile regression inside and outside our country, this article introduces this ideal model and realization method, and compares it with OLS and LAD.
本文在对分位数回归的国内外研究现状进行综述后,介绍了分位数回归的模型和实现方法,并将它与最小平方法、最小一乘法进行了比较。
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