This elementary introduction to probability theory and information theory provides a clear and systematic foundation to the subject; the author pays particular attention to the concept of probability via a highly simplified discussion of measures on Boolean algebras. He then applies the theoretical
Probability and information: An integrated approach
โ Scribed by David Applebaum
- Book ID
- 127455524
- Publisher
- Cambridge University Press
- Year
- 2008
- Tongue
- English
- Weight
- 1 MB
- Edition
- 2nd
- Category
- Library
- ISBN-13
- 9780521899048
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
๐ SIMILAR VOLUMES
This elementary introduction to probability theory and information theory provides a clear and systematic foundation to the subject; the author pays particular attention to the concept of probability via a highly simplified discussion of measures on Boolean algebras. He then applies the theoretical
An updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on Markov chains and their entropy. Suitable as a textbook for beginning students in mathematics, statistics, computer science or economics, the only prerequ