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Graphics for Regressions with a Binary Response

 

作者: R.Dennis Cook,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1996）
卷期: Volume 91, issue 435  

页码: 983-992

 

ISSN:0162-1459

 

年代: 1996

 

DOI:10.1080/01621459.1996.10476968

 

出版商: Taylor & Francis Group

 

关键词: Dimension-reduction subspaces;Graphical regression;Logistic regression;Sliced inverse regression

 

数据来源: Taylor

 

摘要:

Central dimension-reduction subspaces, which characterize the dependence of a response variable on one or more predictors, are developed and then used to guide the construction and interpretation of graphics for regression problems with a binary response variable. Graphical methods requiring neither a link function nor residuals are suggested for both development and criticism of model components implied by the central dimension-reduction subspace.

 

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