A Treatise on Probability

Keynes, John Maynard

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ISBN 10: 9393971684 ISBN 13: 9789393971685

Published by Hawk Press, 1992

Language: English

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Bibliographic Details

Title: A Treatise on Probability
Publisher: Hawk Press
Publication Date: 1992
Language: English
ISBN 10: 9393971684
ISBN 13: 9789393971685
Binding: Hardcover
Condition: As New

About this title

Synopsis

Part I Fundamental ideas

CHAPTER I The Meaning of Probability

CHAPTER II Probability in Relation to the Theory of Knowledge

CHAPTER III The Measurement of Probabilities

CHAPTER IV The Principle of Indifference

CHAPTER V Other Methods of Determining Probabilities

CHAPTER VI The Weight of Arguments

CHAPTER VII Historical Retrospect

CHAPTER VIII The Frequency Theory of Probability

CHAPTER IX The Constructive Theory of Part I. Summarized

PART II Fundamental Theorems

CHAPTER X Introductory

CHAPTER XI The Theory of Groups, with special reference to Logical Consistence, Inference, and Logical Priority.

CHAPTER XII The Definitions and Axioms of Inference and Probability

CHAPTER XIII The Fundamental Theorems of Necessary Inference

CHAPTER XIV The Fundamental Theorems of Probable Inference

CHAPTER XV Numerical Measurement and Approximation of Probabilities

CHAPTER XVI Observations on the Theorems of Chapter XIV. and their Developments, including Testimony

CHAPTER XVII Some Problems in Inverse Probability, including Averages

PART III

Induction and Analogy

CHAPTER XVIII Introduction

CHAPTER XIX The Nature of Argument by Analogy

CHAPTER XX The Value of Multiplication of Instances, or Pure Induction

CHAPTER XXI The Nature of Inductive Argument Continued

CHAPTER XXII The Justification of these Methods

CHAPTER XXIII Some Historical Notes on Induction

PART IV

Some Philosophical Applications of Probability

CHAPTER XXIV The Meanings of Objective Chance, and of Randomness

CHAPTER XXV Some Problems arising out of the Discussion of Chance

CHAPTER XXVI The Application of Probability to Conduct

PART V

The Foundations of Statistical Inference

CHAPTER XXVII The Nature of Statistical Inference

CHAPTER XXVIII The Law of Great Numbers

CHAPTER XXIX The Use of � priori Probabilities for the Prediction of Statistical Frequency-the Theorems of Bernoulli, Poisson, and Tchebycheff

CHAPTER XXX The Mathematical use of Statistical Frequencies for the Determination of Probability � posteriori-the Methods of Laplace

CHAPTER XXXI The Inversion of Bernoulli's Theorem

CHAPTER XXXII The Inductive use of Statistical Frequencies for the Determination of Probability � posteriori-the Methods of Lexis CHAPTER XXXIII Outline of a Constructive Theory

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