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Applied Probability and Stochastic Processes (Hardcover, 2nd edition)
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Applied Probability and Stochastic Processes (Hardcover, 2nd edition)
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Applied Probability and Stochastic Processes, Second Edition
presents a self-contained introduction to elementary probability
theory and stochastic processes with a special emphasis on their
applications in science, engineering, finance, computer science,
and operations research. It covers the theoretical foundations for
modeling time-dependent random phenomena in these areas and
illustrates applications through the analysis of numerous practical
examples. The author draws on his 50 years of experience in the
field to give your students a better understanding of probability
theory and stochastic processes and enable them to use stochastic
modeling in their work. New to the Second Edition Completely
rewritten part on probability theory-now more than double in size
New sections on time series analysis, random walks, branching
processes, and spectral analysis of stationary stochastic processes
Comprehensive numerical discussions of examples, which replace the
more theoretically challenging sections Additional examples,
exercises, and figures Presenting the material in a
student-friendly, application-oriented manner, this non-measure
theoretic text only assumes a mathematical maturity that applied
science students acquire during their undergraduate studies in
mathematics. Many exercises allow students to assess their
understanding of the topics. In addition, the book occasionally
describes connections between probabilistic concepts and
corresponding statistical approaches to facilitate comprehension.
Some important proofs and challenging examples and exercises are
also included for more theoretically interested readers.
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