Information Theory and Statistics (Dover Books on Mathematics) |
 enlarge | Author: Solomon Kullback
Publisher: Dover Publications
Category: Book
List Price: $18.95
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Avg. Customer Rating:  4 reviews
Sales Rank: 298161
Media: Paperback
Number Of Items: 1
Pages: 416
Shipping Weight (lbs): 1
Dimensions (in): 8.3 x 5.3 x 0.9
ISBN: 0486696847
Dewey Decimal Number: 519.5
EAN: 9780486696843
ASIN: 0486696847
Publication Date: July 7, 1997
Availability: Usually ships in 1-2 business days
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Product Description
Highly useful text studies the logarithmic measures of information and their application to testing statistical hypotheses. Topics include introduction and definition of measures of information, their relationship to Fisher's information measure and sufficiency, fundamental inequalities of information theory, much more. Numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
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Customer Reviews:
the classic text on information theory February 7, 2008
32 out of 32 found this review helpful
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.
Excellent Summary in information and statistics January 11, 2007
2 out of 2 found this review helpful
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.
classic text on information theory approach to statistics April 21, 2001
26 out of 28 found this review helpful
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.
 A statistical perspective of Information Theory May 1, 2000
11 out of 20 found this review helpful
The author largely explores information from the vantagepoint of its relationship with statistics. Early on, the basic properties of information are discussed. Information is then illustrated and contextualized with respect to specific probability distributions.
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