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Synopsis
From the book sleeve: [...] information theory has important applications in the several branches of mathematics which could hardly have been anticipated at the time of its birth. We may mention the entropy variant in ergodic theory, which has settled several problems of long standing, the use of the entropy concepts in discussing various questions centered about Hilbert's thirteenth problem, Linnik's proof of the central limit theorem using the information functional, and a short proof of the equivalence-singularity dichotomy for Gaussian measures. In this book the author develops the concept of information stability, which underlies several of the above-mentioned applications of the theory (as well as the classical coding theorems), and then applies it with particular reference to stationary processes and Gaussian processes.[...]
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- PublisherHolden-Day
- Publication date1964
- ISBN 10 0816268045
- ISBN 13 9780816268047
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages243
- EditorAmiel Feinstein
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Information and Information Stability of Random Variables and Processes. Translated and edited by Amiel Feinstein
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condition: Good. 243 pp., hardcover, ex library, else text clean & binding tight (lacks dust jacket). - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1199148
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