A sequential experimental design procedure for the estimation of first- and second-order simulation metamodels

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A sequential experimental design procedure for the estimation of first- and second-order simulation metamodels

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ACM Transactions on Modeling and Computer Simulation (TOMACS) archive
Volume 3 , Issue 3 (July 1993) table of contents

Pages: 190 - 224

Year of Publication: 1993

ISSN:1049-3301

Authors

Joan M. Donohue	University of South Carolina
Ernest C. Houck	Virginia Polytechnic Institute and State University
Raymond H. Myers	Virginia Polytechnic Institute and State University

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 12, Downloads (12 Months): 46, Citation Count: 6

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REFERENCES

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CITED BY 6

	Pierre L'Ecuyer, Efficiency improvement and variance reduction, Proceedings of the 26th conference on Winter simulation, p.122-132, December 11-14, 1994, Orlando, Florida, United States
	Russell R. Barton, Design of experiments for fitting subsystem metamodels, Proceedings of the 29th conference on Winter simulation, p.303-310, December 07-10, 1997, Atlanta, Georgia, United States
	Joan M. Donohue, The use of variance reduction techniques in the estimation of simulation metamodels, Proceedings of the 27th conference on Winter simulation, p.194-200, December 03-06, 1995, Arlington, Virginia, United States
	Russell R. Barton, Metamodeling: a state of the art review, Proceedings of the 26th conference on Winter simulation, p.237-244, December 11-14, 1994, Orlando, Florida, United States
	Joan M. Donohue, Experimental designs for simulation, Proceedings of the 26th conference on Winter simulation, p.200-206, December 11-14, 1994, Orlando, Florida, United States
	Christopher W. Zobel , Kellie B. Keeling, Neural network-based simulation metamodels for predicting probability distributions, Computers and Industrial Engineering, v.54 n.4, p.879-888, May, 2008