AbstractThe asymptotic behavior, for large sample size, is given for the distribution of the canonical correlation coefficients. The result is used to examine the Bartlett-Lawley test that the residual population canonical correlation coefficients are zero. A marginal likelihood function for the population coefficients is obtained and the maximum marginal likelihood estimates are shown to provide a bias correction
AbstractIn this paper the notion of functional canonical correlation as a maximum of correlations of...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
AbstractThe asymptotic behavior, for large sample size, is given for the distribution of the canonic...
The likelihood-ratio test for the hypothesis that the smallest of two canonical correlations is zero...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractAs restricted canonical correlation with a nonnegativity condition on the coefficients depen...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
In canonical correlation analysis, canonical vectors are used in the interpretation of the canonical...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Statisticians are often faced with the problem of choosing the appropriate dimensionality of a model...
Statisticians are often faced with the problem of choosing the appropriate dimensionality of a model...
AbstractIn this paper the notion of functional canonical correlation as a maximum of correlations of...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
AbstractThe asymptotic behavior, for large sample size, is given for the distribution of the canonic...
The likelihood-ratio test for the hypothesis that the smallest of two canonical correlations is zero...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractAs restricted canonical correlation with a nonnegativity condition on the coefficients depen...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
In canonical correlation analysis, canonical vectors are used in the interpretation of the canonical...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
Classical canonical correlation analysis is one of the fundamental tools in statistics to investigat...
Statisticians are often faced with the problem of choosing the appropriate dimensionality of a model...
Statisticians are often faced with the problem of choosing the appropriate dimensionality of a model...
AbstractIn this paper the notion of functional canonical correlation as a maximum of correlations of...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
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