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Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Print Price: $107.50

Format:
Paperback
470 pp.
tables, 156 mm x 234 mm

ISBN-13:
9780198503682

Publication date:
July 1998

Imprint: OUP UK


The Theory of Probability

Third Edition

Sir Harold Jeffreys

Series : Oxford Classic Texts in the Physical Sciences

Another title in the reissued Oxford Classic Texts in the Physical Sciences series, Jeffrey's Theory of Probability, first published in 1939, was the first to develop a fundamental theory of scientific inference based on the ideas of Bayesian statistics. His ideas were way ahead of their time and it is only in the past ten years that the subject of Bayes' factors has been significantly developed and extended. Until recently the two schools of statistics (Bayesian and Frequentist) were distinctly different and set apart. Recent work (aided by increased computer power and availability) has changed all that and today's graduate students and researchers all require an understanding of Bayesian ideas. This book is their starting point.

Readership : Statisticians, probabilists, and physicists.

Reviews

  • `...of greater importance for the philosophy of science, and obviously of greater immediate practical importance, than nearly all the books on probability written by professional philosophers lumped together.'
    I. J. Good
  • `This is an important book by an extraordinary scientist.'
    New Scientist, 3 October 1998

1. Fundamental notions
2. Direct probabilities
3. Estimation problems
4. Approximate methods and simplifications
5. Significance tests: one new parameter
6. Significance tests: various complications
7. Frequency definitions and direct methods
8. General questions

There are no Instructor/Student Resources available at this time.

Sir Harold Jeffreys is at University of Cambridge.

There are no related titles available at this time.

Special Features

  • Classic in the field of probability and statistics
  • First full exposition of Bayesian statistics