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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.85.
Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer 6/30/2002, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Hardback or Cased Book. Condition: New. The Mathematical Theory of Information 1.83. Book.
Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer US Jun 2002, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The general concept of information is here, for the first time, defined mathematically by adding one single axiom to the probability theory. This Mathematical Theory of Information is explored in fourteen chapters: 1. Information can be measured in different units, in anything from bits to dollars. We will here argue that any measure is acceptable if it does not violate the Law of Diminishing Information. This law is supported by two independent arguments: one derived from the Bar-Hillel ideal receiver, the other is based on Shannon's noisy channel. The entropy in the 'classical information theory' is one of the measures conforming to the Law of Diminishing Information, but it has, however, properties such as being symmetric, which makes it unsuitable for some applications. The measure reliability is found to be a universal information measure. 2. For discrete and finite signals, the Law of Diminishing Information is defined mathematically, using probability theory and matrix algebra. 3. The Law of Diminishing Information is used as an axiom to derive essential properties of information. Byron's law: there is more information in a lie than in gibberish. Preservation: no information is lost in a reversible channel. Etc. The Mathematical Theory of Information supports colligation, i. e. the property to bind facts together making 'two plus two greater than four'. Colligation is a must when the information carries knowledge, or is a base for decisions. In such cases, reliability is always a useful information measure. Entropy does not allow colligation. 524 pp. Englisch.
Published by Kluwer Academic Pub, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
Seller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 1st edition. 502 pages. 9.25x6.00x1.00 inches. In Stock.
Published by Springer US, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The general concept of information is here, for the first time, defined mathematically by adding one single axiom to the probability theory. This Mathematical Theory of Information is explored in fourteen chapters: 1. Information can be measured in different units, in anything from bits to dollars. We will here argue that any measure is acceptable if it does not violate the Law of Diminishing Information. This law is supported by two independent arguments: one derived from the Bar-Hillel ideal receiver, the other is based on Shannon's noisy channel. The entropy in the 'classical information theory' is one of the measures conforming to the Law of Diminishing Information, but it has, however, properties such as being symmetric, which makes it unsuitable for some applications. The measure reliability is found to be a universal information measure. 2. For discrete and finite signals, the Law of Diminishing Information is defined mathematically, using probability theory and matrix algebra. 3. The Law of Diminishing Information is used as an axiom to derive essential properties of information. Byron's law: there is more information in a lie than in gibberish. Preservation: no information is lost in a reversible channel. Etc. The Mathematical Theory of Information supports colligation, i. e. the property to bind facts together making 'two plus two greater than four'. Colligation is a must when the information carries knowledge, or is a base for decisions. In such cases, reliability is always a useful information measure. Entropy does not allow colligation.
Published by Springer US, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
Seller: moluna, Greven, Germany
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The general concept of information is here, for the first time, defined mathematically by adding one single axiom to the probability theory. This Mathematical Theory of Information is explored in fourteen chapters: 1. Information can be measured in differen.
Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Published by Springer, 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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Condition: New. New. In shrink wrap. Looks like an interesting title! 1.95.
Published by Springer-Verlag New York Inc., 2002
ISBN 10: 1402070640ISBN 13: 9781402070648
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