- Print ISBN 9780123814166
- eBook ISBN 9780123814173
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.
• 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
PRAISE FOR THE SECOND EDITION
This book is a valuable resource for anyone studying combustion processes."
--David L. Liscinsky, United Technologist Research Center, in AIAA JOURNAL
This is an excellent text-book ... The narrative is clear, careful and detailed but, at the same time, designed to draw (not to bore) the reader in. The main strengths, in my opinion, are the wealth of convincing applications, which are discussed at some, but not too much length after each bit of theoretical development, and the large number of exercises given at the ends of sections, not just at the ends of chapters."
--Martin Crowder, University of Surrey, Guildford, in THE STATISTICIAN