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Probability and Statistics With Reliability, Queuing, and Computer Science Applications (2ND 02 Edition)by Kishor Shridharbhai Trivedi
Synopses & ReviewsPlease note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.
An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications
This updated and revised edition of the popular classic 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.
Book News Annotation:
This introduction to probability, stochastic processes, and statistics for computer science and engineering applications uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems, fault tolerance, and performance. Chapters cover discrete random variables, continuous random variables, expectation, conditional distribution, stochastic processes, Markov chains, networks of queues, statistical inference, and regression and the analysis of variance. Approximately 200 worked examples are provided for each section. Trivedi teaches electrical and computer engineering at Duke University.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
This book relates fundamental concepts in probability and statistics to the computer sciences. The author uses Markov chains and other statistical tools to illustrate processes such as reliability of computer systems and fault tolerance. This new, revised edition includes a new chapter on Stochastic Petri Nets.
About the Author
KISHOR S. TRIVEDI, PhD, is the Hudson Professor of Electrical and Computer Engineering at Duke University, Durham, North Carolina. His research interests include computer networks, fault-tolerant computing, modeling tools, and reliability modeling.
Table of Contents
Discrete Random Variables.
Continuous Random Variables.
Conditional Distribution and Expectation.
Discrete-Time Markov Chains.
Continuous-Time Markov Chains.
Networks of Queues.
Regression and Analysis of Variance.
Appendix A: Bibliography.
Appendix B: Properties of Distributions.
Appendix C: Statistical Tables.
Appendix D: Laplace Transforms.
Appendix E: Program Performance Analysis.
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