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
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
The likelihood-ratio test for the hypothesis that the smallest of two canonical correlations is zero...
AbstractThe asymptotic behavior, for large sample size, is given for the distribution of the canonic...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
As restricted canonical correlation with a nonnegativity condition on the coefficients depend only o...
As restricted canonical correlation with a nonnegativity condition on the coefficients depend only o...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
AbstractAs restricted canonical correlation with a nonnegativity condition on the coefficients depen...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractIn canonical correlation analysis the number of nonzero population correlation coefficients ...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
The likelihood-ratio test for the hypothesis that the smallest of two canonical correlations is zero...
AbstractThe asymptotic behavior, for large sample size, is given for the distribution of the canonic...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
As restricted canonical correlation with a nonnegativity condition on the coefficients depend only o...
As restricted canonical correlation with a nonnegativity condition on the coefficients depend only o...
AbstractCanonical correlation analysis is shown to be equivalent to the problem of estimating a line...
AbstractAs restricted canonical correlation with a nonnegativity condition on the coefficients depen...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
Asymptotic study of canonical correlation analysis gives the opportunity to present the different st...
AbstractIn canonical correlation analysis the number of nonzero population correlation coefficients ...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
The likelihood-ratio test for the hypothesis that the smallest of two canonical correlations is zero...
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