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A Generalization of Vector Correlation and Its Relation to Canonical Correlation

Bibliographic Data

ID19291983
AuthorsElliot M Cramer (corresponding author)
Year1974
Volume9
Issue3
Pages347-351
Publication date1974-07-01
Open AccessNo
TypeARTICLE
VenueMultivariate Behavioral Research (JOURNAL)
Journal identifiersISSN: 0027-3171 • E-ISSN: 1532-7906
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15327906mbr0903_10
PMID26805483
OpenAlexW2085512328
LanguageEN
Citations received3
References cited1

Chow (1966) has shown that the least-squares estimate of the regression coefficient matrix in multivariate linear regression maximizes the squared vector correlation coefficient between the dependent variables and a linear transformation of the independent variables. This paper shows that the problem is closely related to canonical correlation, and that the correlation involved is the product of the canonical correlations between the independent and dependent variables. The paper gives a symmetric generalization of vector correlation which applies to matrices with different numbers of variables and with linear dependencies among the variables. It is shown to be also related to canonical correlation, as well as to a measure of correlation between sets of variables proposed by Rozeboom (1965). This provides a test of significance for both measures and suggests that the vector correlation may be used as a measure of linear relationship between sets of variables

Bayesian multivariate linear regression · Canonical analysis · Canonical correlation · Correlation · Correlation coefficient · Data mining · Design matrix · Distance correlation · Fisher transformation · Generalization · Linear predictor function · Linear regression · Mathematical analysis · Measure (data warehouse) · Multiple correlation · Multivariate statistics · Partial correlation · Proper linear model · Random variable · Regression analysis · Statistics · Variables · Advanced Statistical Methods and Models · Computer Science · Mathematics · Multi-Criteria Decision Making

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Citations per year0.07
Citation span1981 - 2009 (29)
Highly citedNo

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