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Information Theory and Statistics
     

Information Theory and Statistics

by Solomon Kullback
 

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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.

Overview

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.

Product Details

ISBN-13:
9780486696843
Publisher:
Dover Publications
Publication date:
07/07/1997
Series:
Dover Books on Mathematics Series
Pages:
432
Product dimensions:
5.64(w) x 8.26(h) x 0.85(d)

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