Probability and Information

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.

Author: David Applebaum
Publisher: Cambridge University Press
Published: 08/14/2008
Pages: 290
Binding Type: Hardcover
Weight: 1.60lbs
Size: 9.80h x 6.80w x 0.70d
ISBN: 9780521899048

About the Author
Applebaum, David: - David Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.