AbstractIn this paper, the authors derived exact expressions for the joint marginal densities of any few consecutive ordered roots of a class of random matrices which includes Wishart matrix, MANOVA matrix, and canonical correlation matrix. In addition, the authors obtained an exact expression for the probability integral associated with the joint distribution of any two ordered roots as well as an expression for the c.d.f. of a single intermediate root. All the above expressions are linear combinations of the products of certain double integrals which can be evaluated without any difficulty
In this paper, the authors derived exact central distributions of the extreme roots of the Wishart a...
AbstractAn asymptotic expansion of the joint distribution of k largest characteristic roots CM(i)(Si...
none3This paper focuses on the stochastic analysis of Wishart matrices, which appear in many problem...
AbstractIn this paper, the authors derived exact expressions for the joint marginal densities of any...
AbstractIn this paper, the authors obtained asymptotic expressions for the joint distributions of ce...
AbstractIn this paper, the authors derived exact central distributions of the extreme roots of the W...
We present some new results on the joint distribution of an arbitrary subset of the ordered eigenval...
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
AbstractIt is shown that differential equations given by the author may be used recursively to const...
AbstractIn this paper, the authors consider the evaluation of the distribution functions of the rati...
AbstractIn this paper, the authors cosider the derivation of the exact distributions of the ratios o...
AbstractAlthough distribution theory dates back over a century, the distributions derived were essen...
The distribution of the eigenvalues of Wishart matrices and Gaussian quadratic forms is of great int...
AbstractAsymptotic expansions of the joint distributions of the latent roots of the Wishart matrix a...
vii, 153 leaves ; 27 cm.Thesis (Ph.D.)--University of Adelaide, Dept. of Statistics, 197
In this paper, the authors derived exact central distributions of the extreme roots of the Wishart a...
AbstractAn asymptotic expansion of the joint distribution of k largest characteristic roots CM(i)(Si...
none3This paper focuses on the stochastic analysis of Wishart matrices, which appear in many problem...
AbstractIn this paper, the authors derived exact expressions for the joint marginal densities of any...
AbstractIn this paper, the authors obtained asymptotic expressions for the joint distributions of ce...
AbstractIn this paper, the authors derived exact central distributions of the extreme roots of the W...
We present some new results on the joint distribution of an arbitrary subset of the ordered eigenval...
In this paper, the authors obtained asymptotic expressions for the joint distributions of certain fu...
AbstractIt is shown that differential equations given by the author may be used recursively to const...
AbstractIn this paper, the authors consider the evaluation of the distribution functions of the rati...
AbstractIn this paper, the authors cosider the derivation of the exact distributions of the ratios o...
AbstractAlthough distribution theory dates back over a century, the distributions derived were essen...
The distribution of the eigenvalues of Wishart matrices and Gaussian quadratic forms is of great int...
AbstractAsymptotic expansions of the joint distributions of the latent roots of the Wishart matrix a...
vii, 153 leaves ; 27 cm.Thesis (Ph.D.)--University of Adelaide, Dept. of Statistics, 197
In this paper, the authors derived exact central distributions of the extreme roots of the Wishart a...
AbstractAn asymptotic expansion of the joint distribution of k largest characteristic roots CM(i)(Si...
none3This paper focuses on the stochastic analysis of Wishart matrices, which appear in many problem...