An update of this popular introduction to probability theory and information theory with new material on Markov chains. Num Pages: 250 pages, 65 b/w illus. 3 tables 240 exercises. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189 x 19. Weight in Grams: 730. . 2008. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Probability and Information: An Integrated Approach
Publisher: Cambridge University Press
Publication Date: 2008
Language: English
ISBN 10: 0521899044
ISBN 13: 9780521899048
Binding: Hardcover
Edition: 2nd Edition
Condition: New

About this title

Synopsis

This new and updated textbook is an excellent way to introduce probability and information theory to students new to mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it begins by building a clear and systematic foundation to probability and information. Classic topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Newly covered for this edition is modern material on Markov chains and their entropy. Examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors.

About the Author

David Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.

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