  Although the theoretical behavior of one-dimensional random walks in random
environments is well understood, the numerical evaluation of various
characteristics of such processes has received relatively little attention.
This paper develops new theory and methodology for the computation of the drift
of the random walk for various dependent random environments, including
$k$-dependent and moving average environments.
