The Collected Writings of John Maynard Keynes: A treatise on probability

a₁ ab/h alternatives application argue argument arise arithmetic mean assert assume assumption axioms Bernoulli's theorem bility binary stars Calcul des probabilités cause certainty chapter conclusion correlation Czuber Daniel Bernoulli defined definition degree of probability depends determine discussed event evidence example existence experience fact favour finite probability follows formula frequency theory fundamental generalisation given h₁ hypothesis independent inference inverse inverse probability irrelevant judgment justify Keynes Keynes's knowledge known Laplace law of error Laws of Thought Leibniz less limits logical magnitude mathematical mean method negative analogy number of instances numerical measurement observations occurrence p₁ particular Phil possible posteriori precise premisses principle of indifference priori probability proba probable value problem proportion pure induction quantity question random rational belief reason relation of probability relative relevant result sense statistical frequency suppose Theory of Probabilities tion true valid Wahrscheinlichkeitsrechnung weight