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
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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