Add to ORKGLet $X$ be a $k$-dimensional random vector. We assume that some conditionals of $X$ are normal. Then we investigate under what minimal additional condition $X$ is multivariate normal
AbstractIt is shown that the conditional probability density function of Y1 given (1n) Σi=1n Yi=1Yit...
The joint normality of two random vectors is obtained based on normal conditional with linear regres...
The normal distribution is a very important distribution in probability theory and statisticsand has...
If X is a k-dimensional random vector, we denote by X(i) the vector X with coordinate i deleted and ...
Let $X$ and $Y$ be two random vectors with values in $\bbfR\sp k$ and $\bbfR\sp \ell$, respectively....
It is established that a vector variable (X<SUB>1</SUB>,..., X<SUB>k</SUB>) has a multivariate norma...
AbstractIt is established that a vector variable (X1, …, Xk) has a multivariate normal distribution ...
In this paper we give a characterization of the multivariate normal distribution through the conditi...
We show that the orthogonal projection operator onto the range of the adjoint T⁎ of a linear operato...
Let $X$ and $Y$ be two random vectors taking values in the real finite-dimensional inner product spa...
AbstractThis paper introduces a new characterization of multivariate normality of a random vector ba...
We briefly summarize the definitions of univariate and multivariate normal distributions, along with...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
AbstractIt is established that a vector (X′1, X′2, …, X′k) has a multivariate normal distribution if...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
AbstractIt is shown that the conditional probability density function of Y1 given (1n) Σi=1n Yi=1Yit...
The joint normality of two random vectors is obtained based on normal conditional with linear regres...
The normal distribution is a very important distribution in probability theory and statisticsand has...
If X is a k-dimensional random vector, we denote by X(i) the vector X with coordinate i deleted and ...
Let $X$ and $Y$ be two random vectors with values in $\bbfR\sp k$ and $\bbfR\sp \ell$, respectively....
It is established that a vector variable (X<SUB>1</SUB>,..., X<SUB>k</SUB>) has a multivariate norma...
AbstractIt is established that a vector variable (X1, …, Xk) has a multivariate normal distribution ...
In this paper we give a characterization of the multivariate normal distribution through the conditi...
We show that the orthogonal projection operator onto the range of the adjoint T⁎ of a linear operato...
Let $X$ and $Y$ be two random vectors taking values in the real finite-dimensional inner product spa...
AbstractThis paper introduces a new characterization of multivariate normality of a random vector ba...
We briefly summarize the definitions of univariate and multivariate normal distributions, along with...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
AbstractIt is established that a vector (X′1, X′2, …, X′k) has a multivariate normal distribution if...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
AbstractIt is shown that the conditional probability density function of Y1 given (1n) Σi=1n Yi=1Yit...
The joint normality of two random vectors is obtained based on normal conditional with linear regres...
The normal distribution is a very important distribution in probability theory and statisticsand has...