AbstractIt is well known that the best equivariant estimator of the variance covariance matrix of the multivariate normal distribution with respect to the full affine group of transformation is not even minimax. Some minimax estimators have been proposed. Here we treat this problem in the framework of a multivariate analysis of variance (MANOVA) model and give other classes of minimax estimators
AbstractThis paper considers the problem of estimating of the coefficient matrix B(p × m) in a norma...
In this paper, we consider the problem of estimating the covariance matrix and the generalized varia...
AbstractThis paper is concerned with the problem of estimating a matrix of means in multivariate nor...
AbstractIt is well known that the best equivariant estimator of the variance covariance matrix of th...
AbstractLet X be a p-variate (p ≥ 3) vector normally distributed with mean μ and covariance Σ, and l...
In this paper, the problem of estimating the mean matrix Θ of a matrix-variate normal distribu...
SIGLETIB: RN 2394 (1064) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsb...
AbstractThe problem of estimating the mean of a multivariate normal distribution is considered. A cl...
AbstractThis paper considers the problem of estimating the coefficient matrix B: m × p in a normal m...
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance ...
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance ...
Let X have a p-variate normal distribution with mean vector [theta] and identity covariance matrix I...
In estimation of the normal covariance matrix, finding a least favorable sequence of prior distribut...
AbstractIn this paper, we consider the problem of estimating the covariance matrix and the generaliz...
In this paper, we consider the problem of estimating the covariance matrix and the generalized varia...
AbstractThis paper considers the problem of estimating of the coefficient matrix B(p × m) in a norma...
In this paper, we consider the problem of estimating the covariance matrix and the generalized varia...
AbstractThis paper is concerned with the problem of estimating a matrix of means in multivariate nor...
AbstractIt is well known that the best equivariant estimator of the variance covariance matrix of th...
AbstractLet X be a p-variate (p ≥ 3) vector normally distributed with mean μ and covariance Σ, and l...
In this paper, the problem of estimating the mean matrix Θ of a matrix-variate normal distribu...
SIGLETIB: RN 2394 (1064) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsb...
AbstractThe problem of estimating the mean of a multivariate normal distribution is considered. A cl...
AbstractThis paper considers the problem of estimating the coefficient matrix B: m × p in a normal m...
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance ...
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance ...
Let X have a p-variate normal distribution with mean vector [theta] and identity covariance matrix I...
In estimation of the normal covariance matrix, finding a least favorable sequence of prior distribut...
AbstractIn this paper, we consider the problem of estimating the covariance matrix and the generaliz...
In this paper, we consider the problem of estimating the covariance matrix and the generalized varia...
AbstractThis paper considers the problem of estimating of the coefficient matrix B(p × m) in a norma...
In this paper, we consider the problem of estimating the covariance matrix and the generalized varia...
AbstractThis paper is concerned with the problem of estimating a matrix of means in multivariate nor...