Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter XV, Markov Chains, p. 397.
Famous William Feller Quotes
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter XIII, Recurrent Events. Renewal Theory. p. 314.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter V, Conditional Probability, Stochastic Independence, p. 132.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter VI, The Binomial And The Poisson Distributions, p. 152-153.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter VIII, Unlimited Sequences Of Bernoulli Trials, p. 200
Introduction, The Nature of Probability Theory, p. 6.
An Introduction To Probability Theory And Its Applications (Third Edition)
William Feller Quotes about the game
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter IX, Random Variables; Expectation, p. 212.
Introduction, The Nature of Probability Theory, p. 3.
An Introduction To Probability Theory And Its Applications (Third Edition)
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter XIV, Random Walk And Ruin Problems, p. 349.
“It must be understood that a fair game may be distinctly unfavorable to the player.”
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter X, Law Of large Numbers, p. 249.
Context: Much harm was done by the misleading suggestive power of this name. It must be understood that a fair game may be distinctly unfavorable to the player.
William Feller Quotes
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter V, Conditional Probability, Stochastic Independence, p. 114.
Introduction, The Nature of Probability Theory, p. 2 - 3.
An Introduction To Probability Theory And Its Applications (Third Edition)
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter X, Law Of large Numbers, p. 253.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter III, Fluctuations In Coin Tossing And Random Walks, p. 67.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter II, Elements Of Combinatorial Analysis, p. 32.
Introduction, The Nature of Probability Theory, p. 2.
An Introduction To Probability Theory And Its Applications (Third Edition)
“Infinite product spaces are the natural habitat of probability theory.”
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter V, Conditional Probability, Stochastic Independence, p. 130
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter XV, Markov Chains, p. 420.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter VIII, Unlimited Sequences Of Bernoulli Trials, p. 198.
Note on the Use of this Book, p. xi-xii.
An Introduction To Probability Theory And Its Applications (Third Edition)
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter III, Fluctuations In Coin Tossing And Random Walks, p. 92.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter XV, Markov Chains, p. 407.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter VI, The Binomial And The Poisson Distributions, p. 147.
Preface to the Third Edition, p. vii.
An Introduction To Probability Theory And Its Applications (Third Edition)
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter X, Law Of large Numbers, p. 250.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter VIII, Unlimited Sequences Of Bernoulli Trials, p. 202.
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter I, The Sample Space, p. 7
Introduction, The Nature of Probability Theory, p. 3.
An Introduction To Probability Theory And Its Applications (Third Edition)
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter V, Conditional Probability, Stochastic Independence, p. 136.
“three repairman per twenty machines are much more economical than one repairman per six machines.”
Source: An Introduction To Probability Theory And Its Applications (Third Edition), Chapter XVII, The Simplest Time Dependent Stochastic Processes, p. 466.