Overview

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Full Product Details

9781119285427

Table of Contents

Reviews

The book oers a comprehensive introduction to probability, stochastic processes, and statis- tics for students of computer science, electrical and computer engineering, and applied math- ematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. -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)

The book oers a comprehensive introduction to probability, stochastic processes, and statis- tics for students of computer science, electrical and computer engineering, and applied math- ematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. 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)

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) The book oers a comprehensive introduction to probability, stochastic processes, and statis- tics for students of computer science, electrical and computer engineering, and applied math- ematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. 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)

Author Information

Kishor S. Trivedi, PhD, is the Hudson Professor of Electrical and Computer Engineering at Duke University, Durham, North Carolina. His research interests are in reliability and performance assessment of computer and communication systems. Dr. Trivedi has published extensively in these fields, with more than 600 articles and three books to his name. Dr. Trivedi is a Fellow of the IEEE and a Golden Core Member of the IEEE Computer Society.

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