By
Sheldon Ross, University of Southern California, Los Angeles, USA
Description
Ross's
Simulation, Fourth Edition introduces aspiring and practicing actuaries, engineers, computer scientists and others
to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply
results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about
future outcomes.
This text explains how a computer can be used to generate random numbers, and how to use these random numbers to generate
the behavior of a stochastic model over time. It presents the statistics needed to analyze simulated data as well as that needed for
validating the simulation model.
Included in series
Statistical Modeling and Decision Science
Audience:
Senior/graduate level students taking a course in Simulation, found in many different departments, including: Computer Science, Industrial
Engineering, Operations Research, Statistics, Mathematics, Electrical Engineering, and Quantitative Business Analysis.
