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Probability theory : the logic of science

By: Material type: TextTextPublication details: Cambridge Cambridge University Press 2003Description: xxix, 727pISBN:
  • 9780521592710 (hb.)
Subject(s): DDC classification:
  • 519.2 JAY
Summary: 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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Item type Current library Collection Call number Status Date due Barcode
Book Book Plaksha University Library Mathematics 519.2 JAY (Browse shelf(Opens below)) Available 002939
Book Book Plaksha University Library Mathematics 519.2 JAY (Browse shelf(Opens below)) Available 002940

https://www.cambridge.org/in/academic/subjects/physics/theoretical-physics-and-mathematical-physics/probability-theory-logic-science?format=HB&isbn=9780521592710

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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