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Multivariate Regression of Dummy Variates under Normality Assumptions

 

作者: StanleyL. Warner,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1963)
卷期: Volume 58, issue 304  

页码: 1054-1063

 

ISSN:0162-1459

 

年代: 1963

 

DOI:10.1080/01621459.1963.10480687

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The most frequently used practical regression model is that in which it is supposed that the dependent variate is normal for given values of the independent variate. In this paper it is pointed out that another regression model of wide applicability may be furnished by the contrary assumption—that the independent variate is normal for given values of the dependent variate. The particular case where the dependent variate is a vector of dummy variables is explored in detail.

 

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