Probability and Information
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Book Overview
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.
Format:Paperback
Language:English
ISBN:052172788X
ISBN13:9780521727884
Release Date:September 2008
Publisher:Cambridge University Press
Length:290 Pages
Weight:1.35 lbs.
Dimensions:0.6" x 6.9" x 9.6"
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