Probability & Mathematical Statistics S.
2 total works
This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.
Monte Carlo Optimization, Simulation and Sensitivity of Queueing Networks
by Reuven Y. Rubinstein
Published 2 September 1986
A theoretical treatment of Monte Carlo optimization - simulation using perturbation analysis, adaptive methods, and variance reduction techniques. The book emphasizes concepts rather than mathematical completeness, and shows how to use simulation and Monte Carlo methods efficiently for estimating performance measures, sensitivities and optimization of stochastic systems.