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Article . 2013
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Testing Equality of Several Correlation Matrices

Testing equality of several correlation matrices
Authors: GUPTA, ARJUN K.; JOHNSON, BRUCE E.; NAGAR, DAYA K.;

Testing Equality of Several Correlation Matrices

Abstract

Summary: In this article we show that the Kullback's statistic for testing equality of several correlation matrices may be considered a modified likelihood ratio statistic when sampling from multivariate normal populations. We derive the asymptotic null distribution of \(L^\ast\) in series involving independent chisquare variables by expanding \(L^\ast\) in terms of other random variables and then inverting the expansion term by term. An example is also given to exhibit the procedure to be used when testing the equality of correlation matrices using the statistic \(L^\ast\) .

Country
Colombia
Keywords

razón de verosimilitud, Measures of association (correlation, canonical correlation, etc.), Asymptotic null distribution, Covariance matrix, distribución asintótica nula, Cumulants, Statistics, Likelihood ratio test, Correlation matrix, matriz de correlación, Hypothesis testing in multivariate analysis, matriz de covarianza, HA1-4737

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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