Stochastic Modeling, Analysis and Simulation

by Barry L. Nelson

This modern text is the first to unify stochastic modeling, analysis, and simulation, using the discrete event-sample-path view. The objective is to formulate models of dynamic stochastic systems in terms of systems inputs and logic, using the power of simulation. Markovian processes are emphasized. Examples will be coded in SLAM, SIMAN, Fortran, and C. Intended for courses in operations research, I.E. and management science.

Genres: Science, Mathematics

321 pages, Hardcover

First published December 1, 1994

About the author

Barry L. Nelson is the James N. and Margie M. Krebs Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University and is director of the Master of Engineering Management Program there. His research centers on the design and analysis of computer-simulation experiments on models of stochastic systems, concentrating on multivariate input modeling and output analysis and on optimization via simulation. He has published numerous papers and two books. He has served as the simulation area editor of Operations Research and as president of the INFORMS (then TIMS) College on Simulation, and he has held many positions for the annual Winter Simulation Conference, including program chair in 1997 and board member currently.