The generalized partial correlation is defined as a correlation between two variables, where the linear effects of common and unique third variables are partialed out from the two variables. The generalized partial correlation includes simple, partial, part/semipartial and bipartial correlations as special cases. The Edgeworth expansion of the distribution of the standardized sample coefficient for the generalized partial correlation is obtained up to order O(1/n) under nonnormality. Also asymptotic expansions of the distribution of the Studentized estimator are obtained using the Edgeworth expansion, Cornish-Fisher expansion and Hall\u27s method with variable transformation. As extensions, the results of multivariate cases or generalized p...
AbstractAccurate distributions of the estimator of the tetrachoric correlation coefficient and, more...
AbstractIn this paper, some of the familiar transformations of r are examined for their robustness t...
AbstractIn canonical correlation analysis the number of nonzero population correlation coefficients ...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
Asymptotic expansions of the distributions of the sample polyserial correlation coefficients and ass...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test s...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
Accurate distributions of the estimator of the tetrachoric correlation coefficient and, more general...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
Applicability of Pearson’s correlation as a measure of explained variance is by now well understood....
In canonical correlation analysis, canonical vectors are used in the interpretation of the canonical...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Analysis of linear relations between two variables can be investigated in the multiway case, general...
AbstractAccurate distributions of the estimator of the tetrachoric correlation coefficient and, more...
AbstractIn this paper, some of the familiar transformations of r are examined for their robustness t...
AbstractIn canonical correlation analysis the number of nonzero population correlation coefficients ...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
Asymptotic expansions of the distributions of the sample polyserial correlation coefficients and ass...
AbstractAsymptotic expansions of the distributions of typical estimators in canonical correlation an...
AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test s...
AbstractLet r1 > r2 > … be the sample canonical correlations in a sample of size n from a multivaria...
Accurate distributions of the estimator of the tetrachoric correlation coefficient and, more general...
AbstractThis paper examines asymptotic distributions of the canonical correlations between x1;q×1 an...
Applicability of Pearson’s correlation as a measure of explained variance is by now well understood....
In canonical correlation analysis, canonical vectors are used in the interpretation of the canonical...
AbstractThe asymptotic distribution of the sample canonical correlations and coefficients of the can...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Analysis of linear relations between two variables can be investigated in the multiway case, general...
AbstractAccurate distributions of the estimator of the tetrachoric correlation coefficient and, more...
AbstractIn this paper, some of the familiar transformations of r are examined for their robustness t...
AbstractIn canonical correlation analysis the number of nonzero population correlation coefficients ...