Information Theory and Statistics (Dover Books on Mathematics)
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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 second, revised edition. Review: Five Stars - Perfect condition and perfect price. Review: A Statistical classic, although not that useful in practice. - It’s a basic book. Great conceptually. Not that useful on practical problems.
Specifications
| Best Sellers Rank | #789,575 in Books ( See Top 100 in Books ) #318 in Library & Information Science Textbooks #1,181 in Statistics #2,019 in Artificial Intelligence |
| Customer Reviews | 4.6 out of 5 stars 23 Reviews |
Reviews
L**P
Five Stars
Perfect condition and perfect price.
T**.
A Statistical classic, although not that useful in practice.
It’s a basic book. Great conceptually. Not that useful on practical problems.
E**D
print is bad
The book is great, but the quality of print is bad.
F**S
Great and involved.
It's a work of art. Not for beginners.
M**L
Good and useful book for those working on information and statistics
The book is must for those who work on information theory and statistics. Good, in my opinion, for master level and above.
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