存在两个协变量时的回归：考虑分位数网格的一些实际原因

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2020-02-20 DOI:10.22237/jmasm/1556670120

R. Wilcox

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引用次数: 1

摘要

在处理一些随机变量和两个协变量之间的关联时，平滑器的丰富经验表明，线性模型往往不能很好地反映关联的性质。给出了一种通过分位数网格反映关联性质的简单方法。两个主要目标是说明这种方法可以产生实际的差异，并描述应用它的R函数。其中包括关于处理两个以上协变量的评论。

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Regression When There Are Two Covariates: Some Practical Reasons for Considering Quantile Grids

When dealing with the association between some random variable and two covariates, extensive experience with smoothers indicates that often a linear model poorly reflects the nature of the association. A simple approach via quantile grids that reflects the nature of the association is given. The two main goals are to illustrate this approach can make a practical difference, and to describe R functions for applying it. Included are comments on dealing with more than two covariates.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

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.