Add to ORKGWe briefly summarize the definitions of univariate and multivariate normal distributions, along with some of their main properties
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
The paper extends earlier work on the so-called skew-normal distribution, a family of distributions ...
AbstractThis paper introduces a new characterization of multivariate normality of a random vector ba...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
In this paper we give a characterization of the multivariate normal distribution through the conditi...
The thesis deals with the basic discrete and continuous multivariate distributions, which play an im...
An introductory account of the skew-normal distribution in the univariate and in the multivariate ca...
The normal distribution is a very important distribution in probability theory and statisticsand has...
In the chapters I - VII we have succeeded in studying, the most important theoretical properties of...
Let $X$ be a $k$-dimensional random vector. We assume that some conditionals of $X$ are normal. Then...
One of the most common statistical distributions is the normal distribution. What does it tell us an...
Let $X$ and $Y$ be two random vectors with values in $\bbfR\sp k$ and $\bbfR\sp \ell$, respectively....
In this extended abstract we define a class of distributions which we shall refer to as multivariate...
The problem of determining a statistical population belonging to a certain class of distributions is...
Because the assumption of normality is common in statistics, the robustness of statistical procedure...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
The paper extends earlier work on the so-called skew-normal distribution, a family of distributions ...
AbstractThis paper introduces a new characterization of multivariate normality of a random vector ba...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
In this paper we give a characterization of the multivariate normal distribution through the conditi...
The thesis deals with the basic discrete and continuous multivariate distributions, which play an im...
An introductory account of the skew-normal distribution in the univariate and in the multivariate ca...
The normal distribution is a very important distribution in probability theory and statisticsand has...
In the chapters I - VII we have succeeded in studying, the most important theoretical properties of...
Let $X$ be a $k$-dimensional random vector. We assume that some conditionals of $X$ are normal. Then...
One of the most common statistical distributions is the normal distribution. What does it tell us an...
Let $X$ and $Y$ be two random vectors with values in $\bbfR\sp k$ and $\bbfR\sp \ell$, respectively....
In this extended abstract we define a class of distributions which we shall refer to as multivariate...
The problem of determining a statistical population belonging to a certain class of distributions is...
Because the assumption of normality is common in statistics, the robustness of statistical procedure...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
The paper extends earlier work on the so-called skew-normal distribution, a family of distributions ...
AbstractThis paper introduces a new characterization of multivariate normality of a random vector ba...