Regression: Determining Which of p Independent Variables Has the Largest or Smallest Correlation with the Dependent Variable, Plus Results on Ordering the Correlations Winsorized

R. Wilcox
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引用次数: 1

Abstract

In a regression context, consider p independent variables and a single dependent variable. The paper addresses two goals. The first is to determine the extent it is reasonable to make a decision about whether the largest estimate of the Winsorized correlations corresponds to the independent variable that has the largest population Winsorized correlation. The second is to determine the extent it is reasonable to decide that the order of the estimates of the Winsorized correlations correctly reflects the true ordering. Both goals are addressed by testing relevant hypotheses. Results in Wilcox (in press) suggest using a multiple comparisons procedure designed specifically for the situations just described, but execution time can be quite high. A modified method for dealing with this issue is proposed.
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回归:确定p个自变量中哪一个与因变量的相关性最大或最小,加上对相关性排序的结果Winsorized
在回归上下文中,考虑p个自变量和一个因变量。该文件涉及两个目标。第一个是确定关于Winsorized相关性的最大估计是否对应于具有最大总体Winsoriized相关性的自变量的决策的合理程度。第二是确定合理的程度,以确定Winsorized相关性的估计的顺序正确地反映真实的顺序。这两个目标都是通过测试相关假设来实现的。Wilcox的结果(出版中)建议使用专门针对刚才描述的情况设计的多重比较程序,但执行时间可能相当长。提出了一种处理这一问题的改进方法。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
5
期刊介绍: The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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