Stochastic processes are found in probabilistic systems that evolve
with time. Discrete stochastic processes change by only integer
time steps (for some time scale), or are characterized by discrete
occurrences at arbitrary times. Discrete Stochastic Processes helps
the reader develop the understanding and intuition necessary to
apply stochastic process theory in engineering, science and
operations research. The book approaches the subject via many
simple examples which build insight into the structure of
stochastic processes and the general effect of these phenomena in
real systems. The book presents mathematical ideas without recourse
to measure theory, using only minimal mathematical analysis. In the
proofs and explanations, clarity is favored over formal rigor, and
simplicity over generality. Numerous examples are given to show how
results fail to hold when all the conditions are not satisfied.
Audience: An excellent textbook for a graduate level course in
engineering and operations research. Also an invaluable reference
for all those requiring a deeper understanding of the subject.
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