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Probability and Information: An Integrated Approach PDF

283 Pages·2008·1.216 MB·English
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by David Applebaum| 2008| 283 pages| 1.216| English

About Probability and Information: An Integrated Approach

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.

Detailed Information

Author:David Applebaum
Publication Year:2008
Pages:283
Language:English
File Size:1.216
Format:PDF
Price:FREE
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