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摘要 岭回归是一种流行的参数估计方法，常用于解决多元线性回归中频繁出现的多重共线性问题。本文回顾了岭回归方法的公式，并概述了岭估计的性质。特别总结了导致岭回归估计量的四种合理依据。给出了岭回归系数的代数性质，阐明了岭参数值较小时（即逼近最小二乘解）和岭参数值较大时岭迹的行为。还针对自变量之间特定相关结构，给出了系数符号变化和变化率作为岭参数函数的进一步性质。这些结果有助于将岭迹的视觉表现与数据的底层结构联系起来。版权所有© 2009 John Wiley & Sons, Inc. 文章类别：统计模型 > 线性模型 算法与计算方法 > 最小二乘法
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Gary C. McDonald
Wiley Interdisciplinary Reviews Computational Statistics
Oakland University
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Gary C. McDonald（星期三）研究了这个问题。
www.synapsesocial.com/papers/69df1423d9e0feb21c591705 — DOI: https://doi.org/10.1002/wics.14
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