3rd Edition

Stochastic Processes An Introduction, Third Edition

By Peter Watts Jones, Peter Smith Copyright 2018
272 Pages
by Chapman & Hall

267 Pages 45 B/W Illustrations
by Chapman & Hall

267 Pages 45 B/W Illustrations
by Chapman & Hall

Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental probability. It then covers gambling problems, random walks, and Markov chains. The authors go on to discuss... Read more

Some Background on Probability



Some Gambling Problems



Random Walks



Markov Chains



Poisson Processes



Birth and Death Processes



Queues



Reliability and Renewal



Branching and Other Random Processes



Brownian Motion: Wiener Process. Computer Simulations and Projects



Answers and Comments on End-of-Chapter Problems



Appendix



References and Further Reading

Biography

Peter W. Jones is a professor and Pro Vice Chancellor for Research and Enterprise at Keele University in Staffordshire, UK.



Peter Smith is a Professor Emeritus in the School of Computing and Mathematics at Keele University in Staffordshire, UK.

Praise for the second edition:

"… a clear, easily understandable and rather short overview on stochastic processes. The different topics are motivated very well, there are many graphs and 50—theoretical and practical—examples. … the book is written very carefully … for beginners, one could not imagine a better book."
—Dominik Wied, Statistical Papers (2011) 52

"… a good resource as a textbook or as a reference to complement other literature, especially with the examples and problems provided."
Biometrics, 67, September 2011