| Designing computer simulation experiments |
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Winter Simulation Conference
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Proceedings of the 20th conference on Winter simulation
table of contents
San Diego, California, United States
Pages: 15 - 18
Year of Publication: 1988
ISBN:0-911801-42-1
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Author
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W. David Kelton
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Department of Management Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota
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Downloads (6 Weeks): 5, Downloads (12 Months): 21, Citation Count: 3
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ABSTRACT
This tutorial focuses on that part of a simulation study concerning setting the various specific model parameters and the experimental conditions under which the model will be exercised. Other issues in setting up and designing simulation experiments, such as variance reduction, ranking and selection, and optimization, are also mentioned. The focus is on careful choice of such parameters beforehand, with an eye toward the statistical analysis of the simulation's results. Output analysis is not treated per se, being covered in another tutorial in this conference (by Gordon Clark), but the design and analysis activities must be done hand in hand.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Banks, J. and J.S. Carson II (1984). Discrete-Event System Simulation. Prentice-Hall, Englewood Cliffs. New Jersey.
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Box, G.E.P., Hunter, W.G., and Hunter. J.S. (1978). Statistics for Experimenters: An Introduction to Desiqn, Data Analysis~ and Model Buildinq. Wiley, New York.
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Fishman, G. (1973). Concepts and Methods in Discrete Event Diqital simulation. Wiley, New York.
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Law, A.M. (1983). Statistical analysis of simulation output data. Operations Research 3A, 983-1029.
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CITED BY 3
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Lee W. Schruben , Susan M. Sanchez , Paul J. Sanchez , Veronica A. Czitrom, Variance reallocation in Taguchi's robust design framework, Proceedings of the 24th conference on Winter simulation, p.548-556, December 13-16, 1992, Arlington, Virginia, United States
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John S. Ramberg , Susan M. Sanchez , Paul J. Sanchez , Ludwig J. Hollick, Designing simulation experiments: Taguchi methods and response surface metamodels, Proceedings of the 23rd conference on Winter simulation, p.167-176, December 08-11, 1991, Phoenix, Arizona, United States
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