AbstractIt is a well known fact that invariance under the orthogonal group and marginal independence uniquely characterizes the isotropic normal distribution. Here, a similar characterization is provided for the more general class of differentiable bounded Lp-spherically symmetric distributions: Every factorial distribution in this class is necessarily p-generalized normal
AbstractIt is shown that when the random vector X in Rn has a mean and when the conditional expectat...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
AbstractIt is a well known fact that invariance under the orthogonal group and marginal independence...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
AbstractIn this paper some characterization results ofLp-norm spherical distributions are obtained. ...
Abstract. Tractable generalizations of the Gaussian distribution play an important role for the anal...
AbstractTwo optimal characteristic properties of the normal distribution are shown: (a) Of all the S...
It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuou...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
AbstractIt is shown that when the random vector X in Rn has a mean and when the conditional expectat...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
AbstractIt is a well known fact that invariance under the orthogonal group and marginal independence...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
It is a well known fact that invariance under the orthogonal group and marginal independence uniquel...
AbstractIn this paper some characterization results ofLp-norm spherical distributions are obtained. ...
Abstract. Tractable generalizations of the Gaussian distribution play an important role for the anal...
AbstractTwo optimal characteristic properties of the normal distribution are shown: (a) Of all the S...
It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuou...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
AbstractIt is shown that when the random vector X in Rn has a mean and when the conditional expectat...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...
An in-dimensional random vector X is said to have a spherical distribution if and only if its charac...