AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test statistics concerning a correlation matrix in a multivariate normal distribution. For this purpose an asymptotic expansion is given for the distribution of a function of the sample correlation matrix. As special cases of the resulting expansion, asymptotic expansions for the distributions of the sample correlation coefficient, Fisher's z-transformation and arcsine transformation are also given
AbstractThe asymptotic covariance matrix of the sample correlation matrix is derived in matrix form ...
AbstractThis paper is concerned with the null distribution of test statistic T for testing a linear ...
AbstractThe asymptotic distribution of some test criteria for a covariance matrix are derived under ...
AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test s...
AbstractAsymptotic expansions of the distributions of two test criteria concerning a covariance matr...
AbstractIn this article, multivariate density expansions for the sample correlation matrix R are der...
AbstractIn this paper, the authors obtained asymptotic expressions for the joint distributions of ce...
AbstractLet S be a p×p random matrix having a Wishart distribution Wp(n,n−1Σ). For testing a general...
AbstractA general matrix expression for the asymptotic covariance matrix of correlation coefficients...
AbstractLet S = (1/n) Σt=1n X(t) X(t)′, where X(1), …, X(n) are p × 1 random vectors with mean zero....
AbstractThe authors investigated the asymptotic joint distributions of certain functions of the eige...
In this thesis we examine the derivation of asymptotic expansion approximations to the cumulative di...
AbstractIn this paper asymptotic nonnull distributions are derived for two statistics used in testin...
AbstractThe asymptotic distributions of the elementary symmetric functions (esf's) of the characteri...
AbstractThe nonnull distribution of some statistics, used for testing Σ1 = Σ2 are obtained as mixtur...
AbstractThe asymptotic covariance matrix of the sample correlation matrix is derived in matrix form ...
AbstractThis paper is concerned with the null distribution of test statistic T for testing a linear ...
AbstractThe asymptotic distribution of some test criteria for a covariance matrix are derived under ...
AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test s...
AbstractAsymptotic expansions of the distributions of two test criteria concerning a covariance matr...
AbstractIn this article, multivariate density expansions for the sample correlation matrix R are der...
AbstractIn this paper, the authors obtained asymptotic expressions for the joint distributions of ce...
AbstractLet S be a p×p random matrix having a Wishart distribution Wp(n,n−1Σ). For testing a general...
AbstractA general matrix expression for the asymptotic covariance matrix of correlation coefficients...
AbstractLet S = (1/n) Σt=1n X(t) X(t)′, where X(1), …, X(n) are p × 1 random vectors with mean zero....
AbstractThe authors investigated the asymptotic joint distributions of certain functions of the eige...
In this thesis we examine the derivation of asymptotic expansion approximations to the cumulative di...
AbstractIn this paper asymptotic nonnull distributions are derived for two statistics used in testin...
AbstractThe asymptotic distributions of the elementary symmetric functions (esf's) of the characteri...
AbstractThe nonnull distribution of some statistics, used for testing Σ1 = Σ2 are obtained as mixtur...
AbstractThe asymptotic covariance matrix of the sample correlation matrix is derived in matrix form ...
AbstractThis paper is concerned with the null distribution of test statistic T for testing a linear ...
AbstractThe asymptotic distribution of some test criteria for a covariance matrix are derived under ...