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"The book offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up–to–date information makes it an excellent resource for practitioners as well." (Zentralblatt MATH, 2016)
"I highly recommend this book for academics for use as a textbook and for researchers and professionals in the field as a useful reference." (Interfaces, September/ October 2004)
"This introduction...uses Markov chains and other statistical tools to illustrate process in reliability of computer systems, fault tolerance, and performance." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...an excellent self–contained book.... I recommend the book to beginners and veterans in the field..." (Computer Journal, Vol.45, No.6, 2002)
"This book is a tour de force of clear, virtually error–free exposition of probability as it is applied in a host of up–to–date contexts.... It will richly reward the...reader.... Read this book cover to cover. It s worth the effort." (Technometrics, Vol. 45, No. 1, February 2003)
Provides a comprehensive introduction to probability, stochastic processes and statistics
This book covers fundamental concepts in probability and statistics, and relates these concepts to computer science and engineering. The author begins with a five–chapter–long coverage of probability theory designed for a one–semester introductory course on applied probability. Real–world examples and problems are used to help readers understand applied probability concepts. Chapters six though nine in turn are designed to be the core of an introductory course on stochastic processes and their applications. The remaining two chapters discuss statistical interference and regression that can form a core of a course on statistics.
Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd Edition is written for senior undergraduate and graduate students interested in electrical and computer engineering, reliability engineering, and applied mathematics. This book will also be of interest to practicing engineers and researchers in these areas.
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