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THE ASSUMPTION OF MULTIVARIATE NORMALITY1

 

作者: R. S. Lockhart,  

 

期刊: British Journal of Mathematical and Statistical Psychology  (WILEY Available online 1967)
卷期: Volume 20, issue 1  

页码: 63-69

 

ISSN:0007-1102

 

年代: 1967

 

DOI:10.1111/j.2044-8317.1967.tb00378.x

 

出版商: Blackwell Publishing Ltd

 

数据来源: WILEY

 

摘要:

Although the multivariate normal assumption is common to many of the multivariate statistical methods used to analyse psychological data, its tenability is rarely examined. It is possible to derive a goodness‐of‐fit test of this assumption, but in practice sample sizes will not be large enough to make complete testing feasible. In such a situation a partial testing procedure is advocated, together with studies of robustness. A numerical example is given illustrating how the partial testing procedure may detect instances of distributions which have normally distributed marginals but which are not multivariate nor

 

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