Some classes of multivariate distributions, which have the same partial and con-ditional correlation coefficients, are obtained. In one class, the sum of components is fixed and all the components have negative correlation coefficients. Another class is constructed as mixtures of independent samples from the NEF-QVF mixed by con-jugate prior, and all the components are positively correlated. Implications of the equivalence of partial and conditional covariances, and simple covariance structures are briefly discussed
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
It is often of interest to estimate partial or semipartial correlation coefficients as indexes of th...
Abstract: Multivariate approach to generate variance covariance and partial correlation coefficients...
Partial correlations are the natural interaction terms to be associated with the edges of the indepe...
<p>Correlation coefficients and partial correlation coefficients between variables.</p
The correlational structure of a set of variables is often conveniently described by the pairwise pa...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Multivariate correlation coefficients for all pairs of analysis related to the six groups compared.<...
Partial correlations quantify linear association between two variables while adjusting for the influ...
This work examines both the elliptically contoured Wishart density and theresulting density of the t...
The inferential procedures based on an optimal combination of correlated estimators of the common me...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
It is often of interest to estimate partial or semipartial correlation coefficients as indexes of th...
Abstract: Multivariate approach to generate variance covariance and partial correlation coefficients...
Partial correlations are the natural interaction terms to be associated with the edges of the indepe...
<p>Correlation coefficients and partial correlation coefficients between variables.</p
The correlational structure of a set of variables is often conveniently described by the pairwise pa...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Stressing the close resemblance between univariate and multivariate situations, it is shown that a p...
Multivariate correlation coefficients for all pairs of analysis related to the six groups compared.<...
Partial correlations quantify linear association between two variables while adjusting for the influ...
This work examines both the elliptically contoured Wishart density and theresulting density of the t...
The inferential procedures based on an optimal combination of correlated estimators of the common me...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
It is often of interest to estimate partial or semipartial correlation coefficients as indexes of th...