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Probability and information : = an integrated approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Probability and information :/ David Applebaum.
Reminder of title:	an integrated approach /
remainder title:	Probability & Information
Author:	Applebaum, David,
Description:	1 online resource (xvi, 273 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Probabilities. -
Online resource:	https://doi.org/10.1017/CBO9780511755262
ISBN:	9780511755262 (ebook)

Probability and information : = an integrated approach /
Applebaum, David,1956-

Probability and information :an integrated approach /Probability & InformationDavid Applebaum. - Second edition. - 1 online resource (xvi, 273 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511755262 (ebook)Subjects--Topical Terms:

527847
Probabilities.

LC Class. No.: QA273 / .A66 2008

Dewey Class. No.: 519.2

Probability and information : = an integrated approach /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a 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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