AbstractLet S be distributed as noncentral Wishart given by Wp(m, Σ, Ω) and let x be an n × 1 random vector distributed as N(μ, V). If qi = x′Aix + 2l′ix + ci, i = 1, 2,…, p, are p dependent second degree polynomials in the elements of x where Aj's are symmetric matrices, then the necessary and sufficient conditions for q1 , q2 ,…, qp to be distributed as the diagonal elements of S are established and this generalizes the result for Σ = I. Some special cases are considered
AbstractLet X be distributed as matrix normal with mean M and covariance matrix W⊗V, where W and V a...
In this paper we derive the covariance matrix of the matrix quadratic forms S A := X'AX and S B := X...
AbstractRecently Magnus and Neudecker [3] derived the dispersion matrix of vec X′X, when X′ is a p ×...
AbstractLet S be distributed as noncentral Wishart given by Wp(m, Σ, Ω) and let x be an n × 1 random...
AbstractLet Y be an n×p multivariate normal random matrix with general covariance ΣY. The general co...
Let Y be an nxp multivariate normal random matrix with general covariance [Sigma]Y. The general cova...
AbstractFor a normal random matrix Y with mean zero, necessary and sufficient conditions are obtaine...
AbstractLet Y be an n×p multivariate normal random matrix with general covariance ΣY and W be a symm...
AbstractLet the column vectors of X: p × n be distributed as independent normals with the same covar...
A well known fact is that when testing hypotheses for covariance matrices, distributions of quadrati...
For a normally distributed random matrixYwith a general variance-covariance matrix[Sigma]Y, and for ...
AbstractFor a normally distributed random matrixYwith a general variance–covariance matrixΣY, and fo...
A generalization of the distribution of the multivariate quadratic form XAX ′, where X is a (p × n) ...
For a normal random matrix Y with mean zero, necessary and sufficient conditions are obtained for Y'...
Recently Magnus and Neudecker [3] derived the dispersion matrix of vec X'X, when X' is a pxn random ...
AbstractLet X be distributed as matrix normal with mean M and covariance matrix W⊗V, where W and V a...
In this paper we derive the covariance matrix of the matrix quadratic forms S A := X'AX and S B := X...
AbstractRecently Magnus and Neudecker [3] derived the dispersion matrix of vec X′X, when X′ is a p ×...
AbstractLet S be distributed as noncentral Wishart given by Wp(m, Σ, Ω) and let x be an n × 1 random...
AbstractLet Y be an n×p multivariate normal random matrix with general covariance ΣY. The general co...
Let Y be an nxp multivariate normal random matrix with general covariance [Sigma]Y. The general cova...
AbstractFor a normal random matrix Y with mean zero, necessary and sufficient conditions are obtaine...
AbstractLet Y be an n×p multivariate normal random matrix with general covariance ΣY and W be a symm...
AbstractLet the column vectors of X: p × n be distributed as independent normals with the same covar...
A well known fact is that when testing hypotheses for covariance matrices, distributions of quadrati...
For a normally distributed random matrixYwith a general variance-covariance matrix[Sigma]Y, and for ...
AbstractFor a normally distributed random matrixYwith a general variance–covariance matrixΣY, and fo...
A generalization of the distribution of the multivariate quadratic form XAX ′, where X is a (p × n) ...
For a normal random matrix Y with mean zero, necessary and sufficient conditions are obtained for Y'...
Recently Magnus and Neudecker [3] derived the dispersion matrix of vec X'X, when X' is a pxn random ...
AbstractLet X be distributed as matrix normal with mean M and covariance matrix W⊗V, where W and V a...
In this paper we derive the covariance matrix of the matrix quadratic forms S A := X'AX and S B := X...
AbstractRecently Magnus and Neudecker [3] derived the dispersion matrix of vec X′X, when X′ is a p ×...