Description
This reference shows the reader 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 as well as presenting the statistics needed to analyze simulated data and the simulation model
About the Author
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
Reviews
"I have always liked Ross' books, as he is simultaneously mathematically rigorous and very interested in applications. The biggest strength I see is the rare combination of mathematical rigor and illustration of how the mathematical methodologies are applied in practice. Books with practical perspective are rarely this rigourous and mathematically detailed. I also like the variety of exercises, which are quite challenging and demanding excellence from students." --Prof. Krzysztof Ostaszewski, Illinois State University
Book Information
ISBN 9780124158252
Author Sheldon M. Ross
Format Hardback
Page Count 328
Imprint Academic Press Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 540g