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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