Introduction to Stochastic Processes

This clear presentation of the
most fundamental models of
random phenomena employs
methods that recognize computerrelated
aspects of theory. Topics
include probability spaces and
random variables, expectations
and independence, Bernoulli
processes and sums of independent
random variables, Poisson processes, Markov chains
and processes, and renewal theory. Assuming only a background
in calculus, this outstanding text includes an introduction
to basic stochastic processes.
Reprint of the Prentice-Hall Publishers, Englewood Cliffs,
New Jersey, 1975 edition.