Simulation (Statistical Modeling and Decision Science) - Hardcover

Ross, Sheldon M.

Hardcover

ISBN 10: 0125984103 ISBN 13: 9780125984102

Publisher: Academic Press Inc, 1996

Synopsis

Simulation allows complex real world situations to be analyzed quantitatively. First, a model is created to represent the situation, then, using probability and statistics theory, the computer can perform a simulation to predict the outcome of this situation. This text provides a description of the generation of random variables and their use in analyzing a model in simulation study. It details how a computer may be used to generate random numbers, which may then be used to generate the behaviour of a stochastic model over time. The statistics needed to analyze simulated data and to validate the simulation model are also presented.

About this title

Review:

..".quite useful as a reference for the applied statistician."--TECHNOMETRICS

About the Author:

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. He received his Ph.D. in statistics at Stanford University in 1968 and has been at Berkeley ever since. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

About this edition

• Publisher: Academic Press Inc
• Publication date: 1996
• ISBN 10: 0125984103
• ISBN 13: 9780125984102
• Binding: Hardcover
• Edition number: 2
• Number of pages: 304