An update of this popular introduction to probability theory and information theory with new material on Markov chains.
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David Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.
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Anbieter: Bookbot, Prague, Tschechien
Hardcover. Zustand: Fine. Leichte Rillen / Abschürfungen / Risse / Knicke. This new and updated textbook is an excellent way to introduce probability and information theory to students new to mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it begins by building a clear and systematic foundation to probability and information. Classic 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. Newly covered for this edition is modern material on Markov chains and their entropy. 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. Artikel-Nr. 30808843-8071-4ac5-9e9a-1620942eac03
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9780521899048_new
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: 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. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521899048
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 2nd edition. 273 pages. 9.75x7.00x0.75 inches. In Stock. Artikel-Nr. x-0521899044
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780521899048
Anzahl: 1 verfügbar