Chapter 1 - Introduction
Chapter 2 - Elements of Probability
Chapter 3 - Random Numbers
Chapter 4 - Generating Discrete Random Variables
Chapter 5 - Generating Continuous Random Variables
Chapter 6 - The Multivariate Normal Distribution and Copulas
Chapter 7 - The Discrete Event Simulation Approach
Chapter 8 - Statistical Analysis of Simulated Data
Chapter 9 - Variance Reduction Techniques
Chapter 10 - Additional Variance Reduction Techniques
Chapter 11 - Statistical Validation Techniques
Chapter 12 - Markov Chain Monte Carlo Methods

The 5th edition of Ross’s Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes.

This latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables. --- summary provided by publisher