An update of this popular introduction to probability theory and information theory with new material on Markov chains.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
David Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 5618867-n
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This updated textbook is an excellent way to introduce probability and information theory to new students in mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it starts by building a clear and systematic foundation to the subject: the concept of probability is given particular attention via a simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information, and added for this new edition is material on Markov chains and their entropy. Lots of examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors. An update of this popular introduction to probability theory and information theory with new material on Markov chains. 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 9780521899048
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Condizione: New. Codice articolo I-9780521899048
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9780521899048_new
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 5618867-n
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Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. 2nd edition. 273 pages. 9.75x7.00x0.75 inches. In Stock. This item is printed on demand. Codice articolo __0521899044
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. An update of this popular introduction to probability theory and information theory with new material on Markov chains. Num Pages: 250 pages, 65 b/w illus. 3 tables 240 exercises. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189 x 19. Weight in Grams: 730. . 2008. 2nd Edition. hardcover. . . . . Codice articolo V9780521899048
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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 C9780521899048
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 250 Index 2nd Edition. Codice articolo 26415874
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Da: CitiRetail, Stevenage, Regno Unito
Hardcover. Condizione: new. Hardcover. This updated textbook is an excellent way to introduce probability and information theory to new students in mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it starts by building a clear and systematic foundation to the subject: the concept of probability is given particular attention via a simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information, and added for this new edition is material on Markov chains and their entropy. Lots of examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors. An update of this popular introduction to probability theory and information theory with new material on Markov chains. 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 9780521899048
Quantità: 1 disponibili