
eBook - ePub
Probability and Statistics with Reliability, Queuing, and Computer Science Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Probability and Statistics with Reliability, Queuing, and Computer Science Applications
About this book
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.
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.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Probability and Statistics with Reliability, Queuing, and Computer Science Applications by Kishor S. Trivedi in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Title Page
- Copyright
- Table of Contents
- Preface to the Paperback Edition
- Preface to the Second Edition
- Preface to the First Edition
- Acronyms
- About the Companion Website
- Chapter 1: Introduction
- Chapter 2: Discrete Random Variables
- Chapter 3: Continuous Random Variables
- Chapter 4: Expectation
- Chapter 5: Conditional Distribution and Expectation
- Chapter 6: Stochastic Processes
- Chapter 7: Discrete-Time Markov Chains
- Chapter 8: Continuous-Time Markov Chains
- Chapter 9: Networks of Queues
- Chapter 10: Statistical Inference
- Chapter 11: 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
- End User License Agreement