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Applied Stochastic Processes By Ming Liao
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Review
"The book provides a good background for a first course on stochastic processes as it covers the main topics and contains many examples."
―Zentralblatt MATH 1281
"The book under review provides a carefully written and concise introduction to stochastic processes and could be used as lecture notes for a first-year graduate course on stochastic processes with emphasis on applications and computation rather than theoretical aspects. It is especially suited for students in engineering or business who aim for applications in their respective field. … The book provides many examples and exercises, often of computational nature, from applied probability, for instance queueing theory and stock market models."
―Mathematical Reviews, August 2014
About the Author
Ming Liao is a professor in the Department of Mathematics and Statistics at Auburn University. He has published 45 research papers and one monograph on probability theory. He received a Ph.D. from Stanford University.
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