Textbook in PDF format

Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem.
Introduction: The Nature of Probability Theory.
The Sample Space.
Elements of Combinatorial Analysis.
Fluctuations in Coin Tossing and Random Walks.
Combination of Events.
Conditional Probability.
Stochastic Independence.
The Binomial and Poisson Distributions.
The Normal Approximation to the Binomial Distribution.
Unlimited Sequences of Bernoulli Trials.
Random Variables; Expectation.
Laws of Large Numbers.
Integral Valued Variables.
Generating Functions.
Compound Distributions.
Branching Processes.
Recurrent Events.
Renewal Theory.
Random Walk and Ruin Problems.
Markov Chains.
Algebraic Treatment of Finite Markov Chains.
The Simplest Time-Dependent Stochastic Processes.
Answers to Problems