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Design of experiments: experimental design for simulation
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Source Winter Simulation Conference archive
Proceedings of the 32nd conference on Winter simulation table of contents
Orlando, Florida
TUTORIAL SESSION: Introductory tutorials table of contents
Pages: 32 - 38  
Year of Publication: 2000
ISBN:0-7803-6582-8
Author
W. David Kelton  University of Cincinnati, Cincinnati, OH
Sponsors
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS-CS : Institute for Operations Research and the Management Sciences-College on Simulation
NIST : National Institute of Standards and Technology
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : The Society for Computer Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 29,   Citation Count: 3
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ABSTRACT

This tutorial introduces some of the ideas, issues, challenges, solutions, and opportunities in deciding how to experiment with a simulation model to learn about its behavior. Careful planning, or designing, of simulation experiments is generally a great help, saving time and effort by providing efficient ways to estimate the effects of changes in the model's inputs on its outputs. Traditional experimental-design methods are discussed in the context of simulation experiments, as are the broader questions pertaining to planning computer-simulation experiments.


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., J. S. Carson, and B. L. Nelson. 1996. Discrete-event system simulation. 2d ed. Upper Saddle River, N.J.: Prentice-Hall.
 
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Box, G. E. P., W. G. Hunter, and J. S. Hunter. 1978. Statistics for experimenters: an introduction to design, data analysis, and model building. New York: John Wiley.
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Kleijnen, J. P. C. 1998. Experimental design for sensitivity analysis, optimization, and validation of simulation models. In Handbook of simulation, ed. J. Banks, 173-223. New York: John Wiley.
 
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Montgomery, D. C. 1997. Design and analysis of experiments. 4th ed. New York: John Wiley.
 
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