Synopses & Reviews
Jeffreys' Theory of Probability, first published in 1939, was the first attempt to develop a fundamental theory of scientific inference based on Bayesian statistics. His ideas were well 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. Recent work has made Bayesian statistics an essential subject for graduate students and researchers. This seminal book is their starting point.
Review
"This is a volume in the series Oxford Classic Texts in the Physical Sciences and is a reprint of the third, 1961 edition of the treatise first published in 1939, when it was years ahead of its time. It was the first text to develop a fundamental theory of inference based on the ideas of Bayesian statistics, ideas which have y now been generally accepted, as well as significantly developed and extended."--Quarterly of Applied Mathematics
Table of Contents
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