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The theory of probability /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The theory of probability // Santosh S. Venkatesh.
Author:	Venkatesh, Santosh S.,
Description:	1 online resource (xxiv, 805 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/CBO9781139169325
ISBN:	9781139169325 (ebook)

The theory of probability /
Venkatesh, Santosh S.,

The theory of probability /Santosh S. Venkatesh. - 1 online resource (xxiv, 805 pages) :digital, PDF file(s).

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

From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians.

ISBN: 9781139169325 (ebook)Subjects--Topical Terms:

527847
Probabilities.

LC Class. No.: QA273 / .V398 2013

Dewey Class. No.: 519.2

The theory of probability /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians.
650 0 $a Probabilities. $3 527847
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