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2006 Hardcover New Book New and in stock. 9/14/2006. *****PLEASE NOTE: This item is shipping from an authorized seller in Europe. In the event that a return is necessary, you ...will be able to return your item within the US. To learn more about our European sellers and policies see the BookQuest FAQ section*****Read moreShow Less
Sheldon 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 can apply results of these analyses to problems in a wide variety of fields in order to obtain effective, accurate solutions, and to make predictions about future outcomes.
Audience: Researchers and practitioners in Computer Science, Industrial Engineering, Operations Research, Statistics, Mathematics, Electrical Engineering, Quantitative Business Analysis.
In the old days, says Ross (industrial engineering and operations research, U. of California-Berkeley), scientists formulating a stochastic model had to compromise between one that realistically portrayed the situation and one that could be comprehended mathematically. No more, he explains, now that fast and powerful computers are available cheap. He shows how to construct a model as faithful as possible to the phenomenon, then analyze it using a simulation study. He includes exercises for course study, but does not specify prerequisites. There's no mention of the dates of earlier editions. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
"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.
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. 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, and a recipient of the Humboldt US Senior Scientist Award.