1. Systems, Models, Simulation and the
Monte Carlo Method
2. Random Number Generation
3. Random Variate Generation
4. Monte Carlo Integration and Variance
Reduction Techniques
5. Linear Equations and Markov Chains
6. Regenerative Method for Simulation
Analysis
7. Monte Carlo Optimization
This is a classic introduction to the Monte Carlo
method. It starts with basic concepts. It illustrates techniques for generating
pseudorandom numbers and pseudorandom variates. The discussions of variance
reduction techniques are clear and very accessible. The book closes with
discussions of some more specialized topics.
This book is perfect for a quantitatively oriented
professional who has some intuitive familiarity with the Monte Carlo method but
wants to achieve more formal understanding so they can implement variance
reduction techniques in their Monte Carlo analyses.