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Probability Theory : = The Logic of ...
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Jaynes, E. T.,
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Probability Theory : = The Logic of Science /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Probability Theory :/ E. T. Jaynes ; edited by G. Larry Bretthorst.
其他題名:
The Logic of Science /
作者:
Jaynes, E. T.,
其他作者:
Bretthorst, G. Larry,
面頁冊數:
1 online resource (753 pages) :digital, PDF file(s).
附註:
Title from publisher's bibliographic system (viewed on 24 Mar 2017).
標題:
Probabilities -
電子資源:
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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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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