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James R. Thompson - Simulation - 9780471251842 - V9780471251842
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Simulation

€ 199.47
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Description for Simulation Hardcover. This text uses simulation as a computational aid in dealing with and creating models of reality. Its main objective is to incorporate simulation as an integral part of the interaction between data and the models which may have approximately generated them. Series: Wiley Series in Probability and Statistics. Num Pages: 328 pages, Illustrations. BIC Classification: GPFC; PBWH; PBWL; UYA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 239 x 166 x 26. Weight in Grams: 628.
A unique, integrated treatment of computer modeling and simulation "The future of science belongs to those willing to make the shift to simulation-based modeling," predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. ... Read more

Product Details

Format
Hardback
Publication date
1999
Publisher
John Wiley & Sons Inc United States
Number of pages
328
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
328
Place of Publication
, United States
ISBN
9780471251842
SKU
V9780471251842
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About James R. Thompson
JAMES R. THOMPSON, PhD, is Professor of Statistics at Rice University. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, he is an elected member of the International Statistical Institute. In 1985, he received the ASA's Don Owen Award, and in 1991, he was awarded the U.S. Army's Samuel S. Wilks Medal for his work in ... Read more

Reviews for Simulation
With the advent of faster computers with comparatively large storage facilities, simulation-based modeling is rapidly being adopted as an alternative approach to conventional top-down, assumptions-based, continuous, stochastic and discrete differential equation modeling. Thompson offers an interesting exposition to the art of simulation, and views "simulation approach" to modeling as a paradigm for realistic evolutionary modeling. The book is written in ... Read more

Goodreads reviews for Simulation


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