Elementary applications of probability theory - with an introduction to stochastic differential equations (2. ed.)

Preface A Review of Basic Probability Theory Geometric Probability Some Applications of the Hypergeometric and Poisson Distributions Reliability Theory Simulation and Random Numbers Convergence of Sequences of Random Variables: The Central Limit Theorem and the Laws of Large Numbers Simple Random Walks Population Genetics and Markov Chains Population Growth I: Birth and Death Processes Population Growth II: Branching Processes Stochastic Processes and an Introduction to Stochastic Differential Equations Diffusion Processes, Stochastic Differential Equations and Applications Appendix: Table of Critical Values of the X2-Distribution Index