Serving as the foundation for a one-semester course in
stochastic processes for students familiar with elementary
probability theory and calculus, "Introduction to Stochastic
Modeling, 4e, " bridges the gap between basic probability and an
intermediate level course in stochastic processes. The objectives
of the text are to introduce students to the standard concepts and
methods of stochastic modeling, to illustrate the rich diversity of
applications of stochastic processes in the applied sciences, and
to provide exercises in the application of simple stochastic
analysis to realistic problems.
New to this edition: Realistic applications from a variety of
disciplines integrated throughout the text, including more
biological applicationsPlentiful, completely updated
problemsCompletely updated and reorganized end-of-chapter exercise
sets, 250 exercises with answersNew chapters of stochastic
differential equations and Brownian motion and related
processesAdditional sections on Martingale and Poisson
process
Realistic applications from a variety of disciplines integrated
throughout the text.
Extensive end of chapter exercises sets, 250 with answers
Chapter 1-9 of the new edition are identical to the previous
edition
New Chapter 10 - Random Evolutions
New Chapter 11- Characteristic functions and Their Applications
"
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