Several new classes of discrete stochastic orderings are introduced for comparing discrete random variables that are valued in an arbitrary ordered finite grid of nonnegative points. These order relations correspond to particular cases of integral stochastic orderings which are generated by different classes of functions of convex/concave-type defined on the grid. They are natural extensions from equidistant to arbitrary grids of various orderings familiar in the literature. The main question addressed in the paper is how an extension of the grid of points can affect such stochastic orderings. It will be shown that a crucial factor is the location of the additional point that is inserted in the grid
Stochastic ordering of random variables may be defined by the relative convexity of the tail functio...
The constraint of two ordered extreme minima random variables when one variable is consider to be st...
The non-decreasing functions whicl are star-shaped and supported above at each point of a non-empty ...
In this paper, the componentwise increasing convex order, the upper orthant order, the upper orthant...
A number of application areas of statistics make direct use of stochastic orderings. Here the specia...
In this paper, newclasses of stochastic order relations are introduced. These can be seen as extensi...
New classes of order relations for discrete bivariate random vectors are introduced that essentially...
summary:We consider partial orderings for stochastic processes induced by expectations of convex or ...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
This paper considers the class of s-convex stochastic orderings for random variables valued in an ar...
In this paper, a new concept called generalized stochastic convexity is introduced as an extension o...
We de1ne a new stochastic order for random vectors in terms of the inclusion relation for the Aumann...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...
This dissertation applies convex optimization techniques to a class of stochastic optimization probl...
We introduce multivariate partial orderings related with the Palm and time-stationary probabilities ...
Stochastic ordering of random variables may be defined by the relative convexity of the tail functio...
The constraint of two ordered extreme minima random variables when one variable is consider to be st...
The non-decreasing functions whicl are star-shaped and supported above at each point of a non-empty ...
In this paper, the componentwise increasing convex order, the upper orthant order, the upper orthant...
A number of application areas of statistics make direct use of stochastic orderings. Here the specia...
In this paper, newclasses of stochastic order relations are introduced. These can be seen as extensi...
New classes of order relations for discrete bivariate random vectors are introduced that essentially...
summary:We consider partial orderings for stochastic processes induced by expectations of convex or ...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
This paper considers the class of s-convex stochastic orderings for random variables valued in an ar...
In this paper, a new concept called generalized stochastic convexity is introduced as an extension o...
We de1ne a new stochastic order for random vectors in terms of the inclusion relation for the Aumann...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...
This dissertation applies convex optimization techniques to a class of stochastic optimization probl...
We introduce multivariate partial orderings related with the Palm and time-stationary probabilities ...
Stochastic ordering of random variables may be defined by the relative convexity of the tail functio...
The constraint of two ordered extreme minima random variables when one variable is consider to be st...
The non-decreasing functions whicl are star-shaped and supported above at each point of a non-empty ...