Book Details
Format
Hardback or Cased Book
ISBN-10
0521899044
ISBN-13
9780521899048
Edition
2 Revised edition
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 14th, 2008
Print length
250 Pages
Weight
730 grams
Dimensions
25.20 x 17.70 x 1.90 cms
Product Classification:
Probability & statistics
Ksh 16,750.00
Manufactured on Demand
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An update of this popular introduction to probability theory and information theory with new material on Markov chains.
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.
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