Remarks on equality of two distributions under some partial orders
Chuancun Yin

TL;DR
This paper investigates conditions under which two random variables or vectors can be considered stochastically equal when ordered by convex or supermodular relations, including multivariate cases.
Contribution
It provides new conditions for stochastic equality under convex and supermodular orderings, extending results to multivariate distributions.
Findings
Conditions for stochastic equality under convex ordering
Conditions for stochastic equality under supermodular ordering
Multivariate extensions of these conditions
Abstract
In this note we establish some appropriate conditions for stochastic equality of two random variables/vectors which are ordered with respect to convex ordering or with respect to supermodular ordering. Multivariate extensions of this result are also considered.
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Taxonomy
TopicsProbability and Risk Models · Fuzzy Systems and Optimization · Statistical Distribution Estimation and Applications
