Understanding Partial Statistics and Redundancy of Variables in Regression and Discriminant Analysis
作者:
BernhardW. Flury,
期刊:
The American Statistician
(Taylor Available online 1989)
卷期:
Volume 43,
issue 1
页码: 27-31
ISSN:0003-1305
年代: 1989
DOI:10.1080/00031305.1989.10475604
出版商: Taylor & Francis Group
关键词: Collinearity;Correlation;Mahalanobis distance;Mean difference;Multiple correlation;Partial correlation;Variable selection
数据来源: Taylor
摘要:
Unexperienced users of statistical methods are sometimes confused by seeming contradictions between the results obtained by univariate variable-by-variable analyses and those obtained by multivariate methods. This article provides some teaching aids that I found useful for explaining the seemingly paradoxical situations to a mathematically untrained audience. Six typical situations are introduced in graphical form and supplemented with numerical examples, illustrating the notion of redundancy of variables and the meaning of partial statistics arising in multiple regression and discriminant analysis.
点击下载:
PDF (433KB)
返 回