AbstractLet the column vectors of X::M×N, M<N, be distributed as independent complex normal vectors with the same covariance matrix Σ. Then the usual quadratic form in the complex normal vectors is denoted by Z=XLXH where L:N×N is a positive definite hermitian matrix. This paper deals with a representation for the density function of Z in terms of a ratio of determinants. This representation also yields a compact form for the distribution of the generalized variance |Z|
Several approximations to the distribution of indefinite quadratic expressions in possibly singular ...
AbstractThe general differential equation that governs the orthant probabilities of the equicorrelat...
AbstractLet A be a real, symmetric matrix, and consider the quadratic form q(v) = vTAv restricted to...
AbstractConsider the quadratic form Z=YH(XLXH)−1Y where Y is a p×m complex Gaussian matrix, X is an ...
AbstractLet the column vectors of X::M×N, M<N, be distributed as independent complex normal vectors ...
Consider the quadratic form Z=YH(XLXH)-1Â Y where Y is a p-m complex Gaussian matrix, X is an indepe...
Let the column vectors of X::Â M-N, Mquadratic form, complex normal vector, hypergeometric functions...
AbstractLet the column vectors of X: p × n be distributed as independent normals with the same covar...
AbstractBy investigating the powers of matrices used in quadratic forms and by replacing the standar...
There are many instances in the statistical literature in which inference is based on a normalized q...
Bibliography: pages 311-318.In this study the distributional properties of certain multivariate comp...
AbstractUsing relatively recent results from multivariate distribution theory, the expectation of a ...
A well known fact is that when testing hypotheses for covariance matrices, distributions of quadrati...
Quadratic forms in normal vectors are central building blocks in statistics, and ratios of quadratic...
AbstractIn this paper a series representation of the joint density and the joint distribution of a q...
Several approximations to the distribution of indefinite quadratic expressions in possibly singular ...
AbstractThe general differential equation that governs the orthant probabilities of the equicorrelat...
AbstractLet A be a real, symmetric matrix, and consider the quadratic form q(v) = vTAv restricted to...
AbstractConsider the quadratic form Z=YH(XLXH)−1Y where Y is a p×m complex Gaussian matrix, X is an ...
AbstractLet the column vectors of X::M×N, M<N, be distributed as independent complex normal vectors ...
Consider the quadratic form Z=YH(XLXH)-1Â Y where Y is a p-m complex Gaussian matrix, X is an indepe...
Let the column vectors of X::Â M-N, Mquadratic form, complex normal vector, hypergeometric functions...
AbstractLet the column vectors of X: p × n be distributed as independent normals with the same covar...
AbstractBy investigating the powers of matrices used in quadratic forms and by replacing the standar...
There are many instances in the statistical literature in which inference is based on a normalized q...
Bibliography: pages 311-318.In this study the distributional properties of certain multivariate comp...
AbstractUsing relatively recent results from multivariate distribution theory, the expectation of a ...
A well known fact is that when testing hypotheses for covariance matrices, distributions of quadrati...
Quadratic forms in normal vectors are central building blocks in statistics, and ratios of quadratic...
AbstractIn this paper a series representation of the joint density and the joint distribution of a q...
Several approximations to the distribution of indefinite quadratic expressions in possibly singular ...
AbstractThe general differential equation that governs the orthant probabilities of the equicorrelat...
AbstractLet A be a real, symmetric matrix, and consider the quadratic form q(v) = vTAv restricted to...