A Treatise on Probability
‹
›
- Browse Category
We Begin at the EndLearn More - Choice Picks
- Top 100 Free Books
- Blog
- Recently Added
- Submit your eBook
By John Maynard Keynes
14 Oct, 2019
A Treatise on Probability was published by John Maynard Keynes while at Cambridge University in 1921. The Treatise attacked the classical theory of probability and proposed a "logical-relationist" theory instead. In a 1922 review, Bertrand Russell,
... Read more
A Treatise on Probability was published by John Maynard Keynes while at Cambridge University in 1921. The Treatise attacked the classical theory of probability and proposed a "logical-relationist" theory instead. In a 1922 review, Bertrand Russell, the co-author of Principia Mathematica, called it "undoubtedly the most important work on probability that has appeared for a very long time," and said that the "book as a whole is one which it is impossible to praise too highly."
The Treatise is fundamentally philosophical in nature despite extensive mathematical formulations. The Treatise presented an approach to probability that was more subject to variation with evidence than the highly quantified classical version. Keynes's conception of probability is that it is a strictly logical relation between evidence and hypothesis, a degree of partial implication. Keynes's Treatise is the classic account of the logical interpretation of probability (or probabilistic logic), a view of probability that has been continued by such later works as Carnap's Logical Foundations of Probability and E.T. Jaynes Probability Theory: The Logic of Science. Less
- File size
- Print pages
- Publisher
- Publication date
- Language
- ISBN
- 1960.682 KB
- 484
- Public Domain Books
- 2008-02-01
- English
- 978-1602066960
Author
Related Books
College Algebra:
Solving Problems in Geometry:
Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications:
Deductive Logic:
Set Theory An Introduction To Independence Proofs:
Time Series Analysis with Long Memory in View:
99 Variations on a Proof:
How to Think Like a Mathematician:
Bayesian Inference for Stochastic Processes:
The philosophy of mathematics:
Mathematical Modeling and Applied Calculus:
Orthogonal Polynomials and Painlevé Equations:
The Earliest Arithmetics in English:
Intermediate Algebra & Analytic Geometry:
College Placement Math Success in 20 Minutes a Day:
Analyzing Longitudinal Clinical Trial Data:
Introduction to Mathematical Philosophy:
Applied Linear Algebra:
Trigonometry Essentials Practice Workbook with Answers:
The Indisputable Existence of Santa Claus:
Probability:
The King of Infinite Space : Euclid and His Elements:
Topics in Computational Number Theory Inspired by Peter L. Montgomery:
Introduction to Lie Groups and Lie Algebra, 51:
An Introduction to Generalized Linear Models:
Join us and get access to all your favourite books
It’s free
