Rubinstein Simulation and the Monte Carlo Method

1. Auflage 2009
ISBN: 978-0-470-31722-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 304 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

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.

Autoren/Hrsg.

Rubinstein, Reuven Y.

Inhaltsverzeichnis

Systems, Models, Simulation and the Monte Carlo Method.
Random Number Generation.
Random Variate Generation.
Monte Carlo Integration and Variance Reduction Techniques.
Linear Equations and Markov Chains.
Regenerative Method for Simulation Analysis.
Monte Carlo Optimization.
Appendix.
Exercises.
References.
Index.