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Applied Stochastic Processes

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by Ming Liao
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Applied Stochastic Processes by Ming Liao

Applied Stochastic Processes presents a concise, graduate-level treatment of the subject, emphasizing applications and practical computation. It also establishes the complete mathematical theory in an accessible way.

After reviewing basic probability, the text covers Poisson processes, renewal processes, discrete- and continuous-time Markov chains, and Brownian motion. It also offers an introduction to stochastic differential equations. While the main applications described are queues, the book also considers other examples, such as the mathematical model of a single stock market.

With exercises in most sections, this book provides a clear, practical introduction for beginning graduate students. The material is presented in a straightforward manner using short, motivating examples. In addition, the author develops the mathematical theory with a strong emphasis on probability intuition.

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Ebook Details
Pages: 208
Size: 8.0 MB
Publisher: CRC Press
Date published:   2013
ISBN: 9781466589346 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis
Nonfiction > Business & Economics > Operations Research

This author has products in the following categories:

Nonfiction > Mathematics > Probability & Statistics
Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis
Nonfiction > Business & Economics > Operations Research

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