Random variables may be compared with respect to their location by comparing certain functionals ad hoc, such as the mean or median, or by means of stochastic ordering based directly on the properties of the corresponding distribution functions. These alternative approaches are brought together in this paper. We focus on the class of L-functionals discussed by Bickel and Lehmann (1975) and characterize the comparison of random variables in terms of these measures by means of several stochastic orders based on iterated integrals, including the increasing convex orde
Actuarial risks and financial asset returns are typically heavy tailed. In this paper, we introduce ...
We investigate the class of stochastic orders induced by Generalized Gini Functionals (GGF) or Yaari...
AbstractWe present a panoply of results on partial orderings for the Liouville distributions, includ...
The aim of this paper is twofold. First, we show that the expectation of the absolute value of the d...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
In some inferential statistical methods, such as tests and confidence intervals, it is important to ...
Random variables are compared w.r.t. their location or their dispersion by means of various types of...
This book emphasizes the use of stochastic orders as motivational tools for developing new statistic...
Consider random vectors formed by a finite number of independent groups of i.i.d. random variables, ...
We compare estimators of the (essential) supremum and the integral of a function "f" defined on a me...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
AbstractThe basic result of the paper states: Let F1, …, Fn, F1′,…, Fn′ have proportional hazard fun...
We study the problem of comparing ageing patterns of lifetimes of k-out-of-n systems with i.i.d. com...
In this paper, newclasses of stochastic order relations are introduced. These can be seen as extensi...
In this paper, the comparison of random variables according to the functionals of a general class of...
Actuarial risks and financial asset returns are typically heavy tailed. In this paper, we introduce ...
We investigate the class of stochastic orders induced by Generalized Gini Functionals (GGF) or Yaari...
AbstractWe present a panoply of results on partial orderings for the Liouville distributions, includ...
The aim of this paper is twofold. First, we show that the expectation of the absolute value of the d...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
In some inferential statistical methods, such as tests and confidence intervals, it is important to ...
Random variables are compared w.r.t. their location or their dispersion by means of various types of...
This book emphasizes the use of stochastic orders as motivational tools for developing new statistic...
Consider random vectors formed by a finite number of independent groups of i.i.d. random variables, ...
We compare estimators of the (essential) supremum and the integral of a function "f" defined on a me...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
AbstractThe basic result of the paper states: Let F1, …, Fn, F1′,…, Fn′ have proportional hazard fun...
We study the problem of comparing ageing patterns of lifetimes of k-out-of-n systems with i.i.d. com...
In this paper, newclasses of stochastic order relations are introduced. These can be seen as extensi...
In this paper, the comparison of random variables according to the functionals of a general class of...
Actuarial risks and financial asset returns are typically heavy tailed. In this paper, we introduce ...
We investigate the class of stochastic orders induced by Generalized Gini Functionals (GGF) or Yaari...
AbstractWe present a panoply of results on partial orderings for the Liouville distributions, includ...