A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Mark Kelbert is a Reader in Statistics in the Department of Mathematics at Swansea University. For many years he has also been associated with the Moscow Institute of Information Transmission Problems and the International Institute of Earthquake Prediction Theory and Mathematical Geophysics (Moscow).
Yuri Suhov is a Professor of Applied Probability in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge (Emeritus). He is also affiliated to the University of São Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9780521769358_new
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Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. 514 pages. 10.00x7.25x1.25 inches. In Stock. This item is printed on demand. Codice articolo __0521769353
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers. Num Pages: 526 pages, 30 b/w illus. 100 exercises. BIC Classification: GPJ; PBF; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 246 x 182 x 34. Weight in Grams: 1088. . 2013. New. hardcover. . . . . Codice articolo V9780521769358
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9780521769358
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Da: CitiRetail, Stevenage, Regno Unito
Hardcover. Condizione: new. Hardcover. This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles. Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for students, or for researchers and engineers who want to grasp the basic principles. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521769358
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles. Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for students, or for researchers and engineers who want to grasp the basic principles. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521769358
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for students, or for rese. Codice articolo 594760035
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9780521769358
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Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers. Num Pages: 526 pages, 30 b/w illus. 100 exercises. BIC Classification: GPJ; PBF; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 246 x 182 x 34. Weight in Grams: 1088. . 2013. New. hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9780521769358
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Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles. Codice articolo 9780521769358
Quantità: 1 disponibili