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Probability and Statistics with Reliability Queuing and Computer Science Applications, 2ed - Softcover
Synopsis
Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Fast delivery through DHL/FedEx express.
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Review
"The book 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." (Zentralblatt MATH, 2016)
"I highly recommend this book for academics for use as a textbook and for researchers and professionals in the field as a useful reference." (Interfaces, September/ October 2004)
"This introduction...uses Markov chains and other statistical tools to illustrate process in reliability of computer systems, fault tolerance, and performance." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...an excellent self–contained book.... I recommend the book to beginners and veterans in the field..." (Computer Journal, Vol.45, No.6, 2002)
"This book is a tour de force of clear, virtually error–free exposition of probability as it is applied in a host of up–to–date contexts.... It will richly reward the...reader.... Read this book cover to cover. It s worth the effort." (Technometrics, Vol. 45, No. 1, February 2003)
From the Back Cover
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.
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