Stochastic Processes: An Introduction 3rd Edition PDF ebook


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3rd Edition PDF ebook by author Peter Watts Jones; Peter Smith published by Chapman & Hall in 2018 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
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eBook Details:

Full title: Stochastic Processes: An Introduction
3rd Edition
Edition: 3rd
Copyright year: 2018
Publisher: Chapman & Hall
Author: Peter Watts Jones; Peter Smith
ISBN: 9780367657604, 9781498779234
Format: PDF

Description of Stochastic Processes: An Introduction
3rd Edition:
Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, 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 random processes continuous in time, including Poisson, birth and death processes, and general population models, and present an extended discussion on the analysis of associated stationary processes in queues. The book also explores reliability and other random processes, such as branching, martingales, and simple epidemics. A new chapter describing Brownian motion, where the outcomes are continuously observed over continuous time, is included. Further applications, worked examples and problems, and biographical details have been added to this edition. Much of the text has been reworked. The appendix contains key results in probability for reference. This concise, updated book makes the material accessible, highlighting simple applications and examples. A solutions manual with fully worked answers of all end-of-chapter problems, and Mathematica and R programs illustrating many processes discussed in the book, can be downloaded from


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