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Normalizing transformations of some statistics in multivariate analysis

Konishi

Biometrika1 Jan 1981

NobleIDark:/48914/w1/20260515/472BFF1EDOI10.1093/biomet/68.3.647

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Abstract

A general procedure for finding normalizing transformations is applied to various statistics in multivariate analysis. It is shown that Fisher's z transformation for a sample correlation coefficient in a normal sample and Wilson & Hilferty's approximation for a chi-squared variate can be derived by the same line of approach.

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