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Item Details
Title: INFORMATION THEORY AND STATISTICS
A TUTORIAL
By: Imre Csiszar, Paul C. Shields
Format: Paperback

List price: £30.00
Our price: £24.75
Discount:
17.5% off
You save: £5.25
ISBN 10: 1933019050
ISBN 13: 9781933019055
Availability: Usually dispatched within 3-5 days.
 Delivery rates
Stock: Currently 1item in stock
Publisher: NOW PUBLISHERS INC
Pub. date: 15 December, 2004
Series: Foundations and Trends in Communications and Information Theory No. 4
Pages: 124
Description: Talks about the applications of information theory concepts in statistics, in the finite alphabet setting.
Synopsis: Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background. Also, an introduction is provided to the theory of universal coding, and to statistical inference via the minimum description length principle motivated by that theory. The tutorial does not assume the reader has an in-depth knowledge of Information Theory or statistics. As such, Information Theory and Statistics: A Tutorial, is an excellent introductory text to this highly-important topic in mathematics, computer science and electrical engineering. It provides both students and researchers with an invaluable resource to quickly get up to speed in the field.
Illustrations: 1, black & white illustrations
Publication: US
Imprint: now publishers Inc
Returns: Returnable
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