This updated, popular introduction to probability theory and information theory, only requiring knowledge of basic calculus, contains new material on Markov chains. Topics covered include statistical inference, random walks, statistical mechanics and communications modelling. Examples and exercises illustrate practical applications with detailed solutions to most exercises available online for instructors.
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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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Destinos, gastos y plazos de envíoLibrería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
Hardback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: GOR014247515
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Librería: AwesomeBooks, Wallingford, Reino Unido
Hardcover. Condición: Very Good. Probability and Information: An Integrated Approach This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 7719-9780521899048
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Hardcover. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 6545-9780521899048
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Librería: moluna, Greven, Alemania
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorDavid Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.InhaltsverzeichnisPreface to the first edition Preface to the second edition 1. Nº de ref. del artículo: 594768407
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Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 2nd edition. 273 pages. 9.75x7.00x0.75 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0521899044
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Hardcover. Condición: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780521899048
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Librería: CitiRetail, Stevenage, Reino Unido
Hardcover. Condición: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780521899048
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New. Nº de ref. del artículo: ABLIING23Feb2416190021106
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