Probability and Statistics With Reliability, Queuing and Computer Science Applications
β Scribed by Kishor S. Trivedi
- Publisher
- Prentice Hall
- Year
- 1982
- Tongue
- English
- Leaves
- 632
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 netsβas 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.
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<b>An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications</b><br /><br />Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in pr
<b>An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications</b><br /><br />This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineer
This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to s