Description
Springer Discrete-Event Simulation Modeling Programming And Analysis 2001 Edition by George S. Fishman
"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming output analysis pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews 22:2 August 2002 Table of contents : Simulation in Perspective * Modeling Concepts * Data Collection and Averages * Programming and Execution * Search Space and Time * Output Analysis * Making Sense of Output and Increasing Efficiency * Sampling from Probability Distributions * Pseudorandom Number Generation * Preparing the Input *