A note on computational efficiency in asymptotically distribution‐free correlational models
作者:
Ab Mooijaart,
期刊:
British Journal of Mathematical and Statistical Psychology
(WILEY Available online 1985)
卷期:
Volume 38,
issue 1
页码: 112-115
ISSN:0007-1102
年代: 1985
DOI:10.1111/j.2044-8317.1985.tb00819.x
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
Asymptotically distribution‐free (ADF) methods for the analyses of covariances or correlations require the calculation of an estimated variance–covariance matrix of those covariances or correlations.Formulae for this variance–covariance matrix are well known from the literature. However, it turns out that, in particular for the correlations, this matrix is quite elaborate because it seems to be necessary to compute and store fourth‐order standardized sample moments.In this paper we show that this can be avoided and that computations can be done in the data matrix directly. This may save a lot of core storage and computation time
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