The thesis focuses on the distributions of random vectors in Cartesian, polar and directional coordinates. In the thesis we derive formulas for probability density func- tions of two-dimensional vectors in polar and directional coordinates, three-dimensional vectors in spherical and directional coordinates and n-dimensional vectors in spherical coordinates. These formulas are shown on several examples of normal and uniform distri- butions. Finally, the thesis discusses differences between the probability density functions in particular coordinates systems.
AbstractIn this paper, a family of kurtosis orderings for multivariate distributions is proposed and...
A probability distribution is called spherically symmetric if it is invariant with respect to rotati...
We introduce the directionally dispersed class of multivariate distributions, a generalization of th...
The thesis deals with the basic discrete and continuous multivariate distributions, which play an im...
The thesis focuses on the distributions of random vectors in Cartesian, polar and directional coordi...
Using properties of shift- and rotation-invariance probability density distributions are derived for...
This paper was written during an invited stay of the authors at the Vietnam Institute for Advanced S...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
In this paper we further develop the theory of vertical density representation (VDR) in the multivar...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
Various practical situations give rise to observations that are directions, and this has led to the ...
This thesis is an introduction into directional statistics, a subdiscipline of statistics that occup...
Modern Directional Statistics collects important advances in methodology and theory for directional ...
Marginal probability density and cumulative distribution functions are presented for multidimensiona...
This paper proposes a new statistical model for symmetric axial directional data in dimension p. Thi...
AbstractIn this paper, a family of kurtosis orderings for multivariate distributions is proposed and...
A probability distribution is called spherically symmetric if it is invariant with respect to rotati...
We introduce the directionally dispersed class of multivariate distributions, a generalization of th...
The thesis deals with the basic discrete and continuous multivariate distributions, which play an im...
The thesis focuses on the distributions of random vectors in Cartesian, polar and directional coordi...
Using properties of shift- and rotation-invariance probability density distributions are derived for...
This paper was written during an invited stay of the authors at the Vietnam Institute for Advanced S...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
In this paper we further develop the theory of vertical density representation (VDR) in the multivar...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
Various practical situations give rise to observations that are directions, and this has led to the ...
This thesis is an introduction into directional statistics, a subdiscipline of statistics that occup...
Modern Directional Statistics collects important advances in methodology and theory for directional ...
Marginal probability density and cumulative distribution functions are presented for multidimensiona...
This paper proposes a new statistical model for symmetric axial directional data in dimension p. Thi...
AbstractIn this paper, a family of kurtosis orderings for multivariate distributions is proposed and...
A probability distribution is called spherically symmetric if it is invariant with respect to rotati...
We introduce the directionally dispersed class of multivariate distributions, a generalization of th...