Stochastic dominance is an ordering of statistical distributions in which one random variable
is at least as likely as another to exceed every threshold. In the usual stochastic
order, a real-valued random
variable
stochastically dominates
iff
for every real number . Equivalently, their distribution
functions satisfy
The inequality concerns statistical distributions, so it does not require for each outcome in a particular joint realization (Shaked
and Shanthikumar 2007).
Stochastic dominance implies for every increasing function
for which the two expectation
values exist. In particular, it implies the same ordering of their expectation
values when these exist, but that ordering alone is insufficient. For example,
a random variable taking 0 and 2 with equal probability and a random
variable identically equal to 1 have the same expectation
value, but neither stochastically dominates the other.