2. Elements of Probability.
3. Random Numbers.
4. Generating Discrete Random Variables.
5. Generating Continuous Random Variables.
6. The Discrete Event Simulation Approach.
7. Statistical Analysis of Simulated Data.
8. Variance Reduction Techniques.
9. Statistical Validation Techniques.
10. Markov Chain Monte Carlo Methods.
11. Some Additional Topics
Sheldon M. Ross "Simulation" 3rd Edition Academic Press 2002 ISBN: 0125980531.
This is a GAUSS version of its "complete" programming guide. Buy and read the textbook above along with this guide.
by Yosuke Amijima