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Probability Theory : = The Logic of ...

Jaynes, E. T.,

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Probability Theory : = The Logic of Science /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability Theory :/ E. T. Jaynes ; edited by G. Larry Bretthorst.
Reminder of title:	The Logic of Science /
Author:	Jaynes, E. T.,
other author:	Bretthorst, G. Larry,
Description:	1 online resource (753 pages) :digital, PDF file(s).
Notes:	Title from publisher's bibliographic system (viewed on 24 Mar 2017).
Subject:	Probabilities -
Online resource:	https://doi.org/10.1017/CBO9780511790423
ISBN:	9780511790423 (ebook)

Probability Theory : = The Logic of Science /
Jaynes, E. T.,

Probability Theory :The Logic of Science /E. T. Jaynes ; edited by G. Larry Bretthorst. - 1 online resource (753 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 24 Mar 2017).

The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.

ISBN: 9780511790423 (ebook)Subjects--Topical Terms:

694044
Probabilities

LC Class. No.: QA273 / .J36 2003

Dewey Class. No.: 519.2

Probability Theory : = The Logic of Science /
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520 $a The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.
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