Table of Contents

1. Stochastic computer simulation (S.G. Henderson, B.L. Nelson).
2. Mathematics for simulation (S.G. Henderson).
3. Uniform random number generation (P. L’Ecuyer). 4. Non-Uniform random variate generation (L. Devroye).
5. Multivariate input processes (B. Biller, S. Ghosh).
6. Arrival processes, random lifetimes, and random objects (L. M. Leemis).
7. Implementing representations of uncertainty (W.D. Kelton).
8. Statistical estimation in computer simulation (C. Alexopoulos).
9. Subjective probability and Bayesian methodology (S.E. Chick).
10. A Hilbert space approach to variance reduction (R.Szechtman).
11. Rare-event simulation techniques(S.Juneja, P.Shahabuddin).
12. Quasi-random number techniques (C. Lemieux). 13. Analysis for design (W. Whitt).
14. Resampling methods (R.C.H. Cheng).
15. Correlation-based methods for output analysis (D. Goldsman, B.L. Nelson).
16. Simulation algorithms for regenerative processes (P.W. Glynn).
17. Selecting the best system (S.-H. Kim, B. L. Nelson).
18. Metamodel-based simulation optimization (R.R. Barton, M. Meckesheimer).
19. Gradient estimation (M.C. Fu).
20. An overview of simulation optimization via random search (S.Andratdóttir).
21. Metaheuristics (S. Ólafsson).

Promotional Information

Volume 13 of the popular series!