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Information Theory and Statistics (Dover Books on Mathematics) New edition

by Solomon Kullback (Author)

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Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix.

ISBN-10

0486696847
ISBN-13

978-0486696843
Edition

New edition
Publisher

Dover Publications
Publication date

July 7, 1997
Language

English
Dimensions

5.64 x 0.85 x 8.26 inches
Print length

432 pages
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Product details

Publisher ‏ : ‎ Dover Publications; New edition (July 7, 1997)
Language ‏ : ‎ English
Paperback ‏ : ‎ 432 pages
ISBN-10 ‏ : ‎ 0486696847
ISBN-13 ‏ : ‎ 978-0486696843
Item Weight ‏ : ‎ 15.8 ounces
Dimensions ‏ : ‎ 5.64 x 0.85 x 8.26 inches

Best Sellers Rank: #1,261,696 in Books (See Top 100 in Books)
- #199 in Information Theory
- #2,014 in Probability & Statistics (Books)
- #46,156 in Unknown

Customer Reviews:
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4.6 out of 5

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Tom C.

A Statistical classic, although not that useful in practice.

Reviewed in the United States on December 13, 2022

Verified Purchase

It’s a basic book. Great conceptually. Not that useful on practical problems.

One person found this helpful

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night biker

Five Stars

Reviewed in the United States on January 4, 2015

Verified Purchase

no better text on the topic.

One person found this helpful

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Vitaly Zaderman

Five Stars

Reviewed in the United States on March 19, 2016

good

the classic text on information theory

Reviewed in the United States on February 7, 2008

This is a very well written text by Kullback. Kullback is well known for the famous Kullback-Liebler information measure of distance between distribution functions. This was the first statistics text to cover statistical methods from the information theory viewpoint and now stands as a classic. For more recent developments see the text by Cover and Thomas. Rissanen also has an interesting book that shows how he used information theory ideas in model selection problems. Information theory goes back to Claude Shannon and others who worked on problems of encoding information for efficient transmission (particularly early telephone applications). This has been very important in electronic communications and is growing in use with modern satellite transmissions and the growing use of computer networks.

55 people found this helpful

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H. Zhou

Excellent Summary in information and statistics

Reviewed in the United States on January 11, 2007

It has listed almost all the results of information and statistics before 1958. The strange thing is that since then there are no breakthrough in that area and few people concentrating in that area.

14 people found this helpful

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M@

Not an introductory text

Reviewed in the United States on December 28, 2014

Verified Purchase

Appears well written and thorough, heavy with citations and formulae. Assumes from the start a familiarity with some that I was unfamiliar with (sigma-algebra and Borel field). I got scared off pretty quickly, and as such am not really qualified to review this book.

The three stars are for the publisher's failure to relay this to me. Admittedly, nothing about the Amazon page indicated that it was an introductory text, but it had general enough sounding title that I expected my undergraduate math education to be sufficient prerequisite understanding, which it wasn't.

The preface states that "the subject of this book is the study of logarithmic measures of information and their application to the testing of statistical hypotheses". At the very least, this should have been on the Amazon page so I knew what I was getting into. Page previews would have been better.

12 people found this helpful

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