AbstractAn asymptotic expansion for large sample size n is derived by a partial differential equation method, up to and including the term of order n−2, for the 0F0 function with two argument matrices which arise in the joint density function of the latent roots of the covariance matrix, when some of the population latent roots are multiple. Then we derive asymptotic expansions for the joint and marginal distributions of the sample roots in the case of one multiple root
AbstractLet Vk,m denote the Stiefel manifold which consists of m × k(m ≥ k) matrices X such that X′X...
AbstractIn this paper, the authors consider the evaluation of the distribution functions of the rati...
AbstractIn this paper, the authors derived exact expressions for the joint marginal densities of any...
AbstractAn asymptotic expansion for large sample size n is derived by a partial differential equatio...
AbstractAsymptotic expansions are given for the distributions of latent roots of matrices in three m...
AbstractAsymptotic expansions of the joint distributions of the latent roots of the Wishart matrix a...
Asymptotic expansions are given for the distributions of latent roots of matrices in three multivari...
AbstractAsymptotic expansions are given for the density function of the normalized latent roots of S...
AbstractAn asymptotic expansion of the joint distribution of k largest characteristic roots CM(i)(Si...
AbstractIn this paper, the authors obtained asymptotic expressions for the joint distributions of ce...
AbstractIt is shown that differential equations given by the author may be used recursively to const...
AbstractIn multivariate analysis many of the noncentral latent root distributions can be expressed i...
AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test s...
asymptotic expansion, distribution of latent roots, Wishart, MANOVA, perturbation, test for dimensio...
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
AbstractLet Vk,m denote the Stiefel manifold which consists of m × k(m ≥ k) matrices X such that X′X...
AbstractIn this paper, the authors consider the evaluation of the distribution functions of the rati...
AbstractIn this paper, the authors derived exact expressions for the joint marginal densities of any...
AbstractAn asymptotic expansion for large sample size n is derived by a partial differential equatio...
AbstractAsymptotic expansions are given for the distributions of latent roots of matrices in three m...
AbstractAsymptotic expansions of the joint distributions of the latent roots of the Wishart matrix a...
Asymptotic expansions are given for the distributions of latent roots of matrices in three multivari...
AbstractAsymptotic expansions are given for the density function of the normalized latent roots of S...
AbstractAn asymptotic expansion of the joint distribution of k largest characteristic roots CM(i)(Si...
AbstractIn this paper, the authors obtained asymptotic expressions for the joint distributions of ce...
AbstractIt is shown that differential equations given by the author may be used recursively to const...
AbstractIn multivariate analysis many of the noncentral latent root distributions can be expressed i...
AbstractThis paper deals with asymptotic expansions for the non-null distributions of certain test s...
asymptotic expansion, distribution of latent roots, Wishart, MANOVA, perturbation, test for dimensio...
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
AbstractLet Vk,m denote the Stiefel manifold which consists of m × k(m ≥ k) matrices X such that X′X...
AbstractIn this paper, the authors consider the evaluation of the distribution functions of the rati...
AbstractIn this paper, the authors derived exact expressions for the joint marginal densities of any...