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.
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.
- Theory and applications of Markov chains to model reliability, availability, performance and performability of computer systems and networks are extensively discussed
- Numerical solution techniques for Markov chains and stochastic Petri nets as a means of automatically generating large Markov chains are discussed
- Applications include, fault tolerant and dependable computing, real-time systems, cellular wireless systems, and software reliability
- Includes over 200 in-text examples as well as self-study exercises for each section
- Provides access to a book companion website with an instructor’s manual and power point slides
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.
