Stochastic dominance techniques have been mainly employed in poverty analyses to
overcome what it is called the multiplicity of poverty indices problem. Moreover, in the …

This book offers an up-to-date, comprehensive coverage of stochastic dominance and its
related concepts in a unified framework. A method for ordering probability distributions …

When stochastic dominance does not hold, we can improve agreement to stochastic order
by suitably trimming both distributions. In this work we consider the L_2 L 2–Wasserstein …

We show that various functionals related to the supremum of a real function defined on an
arbitrary set or a measure space are Hadamard directionally differentiable. We specifically …

Classical tests of fit typically reject a model for large enough real data samples. In contrast,
often in statistical practice, a model offers a good description of the data even though it is not …

Comparisons of different treatments or production processes are the goals of a significant
fraction of applied research. Unsurprisingly, two-sample problems play a main role in …

Stochastic dominance is usually used to rank random variables by comparing their
distributions, so it is widely applied in economics and finance. In actual applications …

The cohesiveness of constituent nations in a confederation such as the Eurozone depends
on their equally shared experiences. In terms of household incomes, commonality of …

Stochastic orders are mathematical methods allowing the comparison of random quantities.
Probably the most usual one is stochastic dominance, which is based on the comparison of …

We study the performance of shape-constrained methods for evaluating immune response
profiles from early-phase vaccine trials. The motivating problem for this work involves …