Items related to Probability and Information: An Integrated Approach
Synopsis
An update of this popular introduction to probability theory and information theory with new material on Markov chains.
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About the Author
David Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.
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Probability and Information
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Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information An
Published by
Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information: An Integrated Approach
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Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information: An Integrated Approach
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Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information : An Integrated Approach
Published by
Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information: An Integrated Approach
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Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information: An Integrated Approach
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Cambridge University Press 2008-08-14, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information: An Integrated Approach
Published by
Cambridge University Press, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Probability and Information: An Integrated Approach
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Probability and Information (Paperback)
Published by
Cambridge University Press, Cambridge, 2008
ISBN 10: 052172788X
ISBN 13: 9780521727884
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Seller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. 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. Seller Inventory # 9780521727884
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