Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition - Essential Textbook for Engineering Students & Professionals | Perfect for Data Analysis, System Modeling, and Algorithm Development
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DESCRIPTION
An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applicationsSecond 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.
REVIEWS
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4.5
As someone who gives courses in Probability Theory for engineering and management students for many years, I must admit that this is one of the best textbooks on the subject. The theory is presented clearly with all necessary explanations and details. And the selection of examples and problems is really great!! I do not hestitate to recommend this text to anyone who teaches/studies Probability Theory for the purpose of applications.
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