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Information Theory and Statistics (Dover Books on Mathematics)

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Information Theory and Statistics (Dover Books on Mathematics) Cover

 

Synopses & Reviews

Synopsis:

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

Synopsis:

Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Numerous problems.

Product Details

ISBN:
9780486696843
Author:
Kullback, Solomon
Publisher:
Dover Publications
Author:
Mathematics
Location:
Mineola, N.Y. :
Subject:
Statistics
Subject:
Mathematical statistics
Subject:
Probability
Subject:
Information Theory
Subject:
Probability & Statistics - General
Subject:
General Mathematics
Subject:
Applied
Subject:
Mathematics | Probability and Statistics
Edition Description:
Trade Paper
Series:
Dover Books on Mathematics
Publication Date:
19970731
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
432
Dimensions:
8.5 x 5.38 in 1 lb

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Related Subjects

Engineering » Communications » Information Theory
Science and Mathematics » Mathematics » Analysis General
Science and Mathematics » Mathematics » Combinatorics
Science and Mathematics » Mathematics » Foundations and Logic
Science and Mathematics » Mathematics » Logic and Philosophy
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Information Theory and Statistics (Dover Books on Mathematics) New Trade Paper
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$22.95 In Stock
Product details 432 pages Dover Publications - English 9780486696843 Reviews:
"Synopsis" by ,
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix.
"Synopsis" by , Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Numerous problems.

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