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
applications
Plentiful, completely updated problems
Completely updated and reorganized end-of-chapter exercise sets, 250 exercises with answers
New chapters of stochastic differential equations and Brownian motion and related processes
Additional sections on Martingale and Poisson process
* Realistic applications from a variety of disciplines integrated throughout the text
* Plentiful, updated and more rigorous problems, including computer "challenges"
* Revised end-of-chapter exercises sets-in all, 250 exercises with answers
* New chapter on Brownian motion and related processes
* Additional sections on Matingales and Poisson process
* Solutions manual available to adopting instructors