  Several methods are available in the literature to stochastically compare
random variables and random vectors. We introduce the notion of asymptotic
stochastic order for random processes and define four such orders. Various
properties and interrelations of the orders are discussed. Sufficient
conditions for these orders to hold for certain stochastic processes, evolving
from some statistical entities of interest, are derived.
