Probability and Information : (Record no. 525736)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01749nam a2200169Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780521727884 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.2 APP-P |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Applebaum, David |
| 245 ## - TITLE STATEMENT | |
| Title | Probability and Information : |
| Remainder of title | an integrated approach / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cambridge : |
| Name of publisher, distributor, etc. | Cambridge university press, |
| Date of publication, distribution, etc. | 2008. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 273p. : illustrations ; 26 cm |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Combinatorics -- Sets and measures -- Probability -- Discrete random variables -- Information and entropy -- Communication -- Random variables with probability density functions -- Random vectors -- Markov chains and their entropy. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Probabilities Information theory. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
No items available.