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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