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A geometric interpretation of Mallows’ Cp statistic and an alternative plot in variable selection

机译:Mallows Cp统计量的几何解释以及变量选择中的替代图

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摘要

Mallows’ Cp plot is a useful tool for variable selection in linear regression. Though not as popular as the Cp plot, Spjotvoll’s Fp and Pp plots are also used in the variable selection procedure. The Cp, Fp and Pp plots are useful in their own right. If the interest is the direct measure of the amount of bias of the submodels and a distributional assumption is not made about the error term, a Cp or Fp plot is used. If a formal testing procedure is to be performed, then a Pp plot is employed. A geometrical approach is used in order to propose an alternative plot that unifies all the information in these three plots, and that has some advantages over them. A Mathematica package has been written to implement the approach.
机译:Mallows的Cp图是用于线性回归中变量选择的有用工具。 Spjotvoll的Fp和Pp图虽然不如Cp图流行,但也用于变量选择过程。 Cp,Fp和Pp图本身很有用。如果关注点是子模型偏差量的直接度量,而未对误差项进行分布假设,则使用Cp或Fp图。如果要执行正式的测试程序,则使用Pp图。为了提出一个替代图,使用了一种几何方法,该图统一了这三个图中的所有信息,并且相对于它们具有一些优势。编写了Mathematica软件包来实现该方法。

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