Probability Theory
The Logic of Science
1st edition
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Author
Contributions
- G. Larry Bretthorst (Editor) - Contributor
- G. Larry Bretthorst - Editor
Publication
2003-06-09 - Cambridge University Press, Cambridge, UK
Language
English
Word Count
181,750 words, Guess
Page Count
727 pages
Physical Format
Hardcover
Identifiers
- Internet Archiveprobabilitytheor00jayn_909
- Internet Archiveprobabilitytheor00jayn_389
- Internet Archiveprobabilitytheor00jayn_728
- Internet Archiveprobabilitytheor00jayn
- ISBN-100521592712
and 6 more
- ISBN-139780521592710
- GoogletTN4HuUNXjgC
- LibraryThing323850
- Library of Congress Control Number2002071486
- OCLC Control Number57254076
- Open LibraryOL7747518M
Classifications
- DDC519.2
- LCCQA273 .J36 2003
Alternate Titles
- PTLOS
Description
Publisher Description: > 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. Book Description: > Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.
First Sentence
Suppose some dark night a policeman walks down a street, apparently deserted.
Subjects
Topics
Other Editions
- Probability Theory: The Logic of Science
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