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A Test Statistic in Canonical Correlation Analysis for Categorical Variables

A Test Statistic in Canonical Correlation Analysis for Categorical Variables In canonical correlation analysis (CCA), it is important to estimate the number of nonzero canonical correlations in the population. One way to estimate the number is to consider the dimensionality testing problem. In CCA for continuous variables, some test statistics for the problem have been derived under the normality assumption. However, there are only a few papers on test statistics in CCA for categorical variables. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Behaviormetrika Springer Journals

A Test Statistic in Canonical Correlation Analysis for Categorical Variables

Behaviormetrika , Volume 34 (1) – Jan 1, 2007

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References (21)

Publisher
Springer Journals
Copyright
Copyright © 2007 by The Behaviormetric Society
Subject
Statistics; Statistical Theory and Methods; Statistics for Business, Management, Economics, Finance, Insurance; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
ISSN
0385-7417
eISSN
1349-6964
DOI
10.2333/bhmk.34.59
Publisher site
See Article on Publisher Site

Abstract

In canonical correlation analysis (CCA), it is important to estimate the number of nonzero canonical correlations in the population. One way to estimate the number is to consider the dimensionality testing problem. In CCA for continuous variables, some test statistics for the problem have been derived under the normality assumption. However, there are only a few papers on test statistics in CCA for categorical variables.

Journal

BehaviormetrikaSpringer Journals

Published: Jan 1, 2007

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