Latin hypercube sampling as a tool in uncertainty analysis of computer models

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Latin hypercube sampling as a tool in uncertainty analysis of computer models

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Winter Simulation Conference archive
Proceedings of the 24th conference on Winter simulation table of contents

Arlington, Virginia, United States

Pages: 557 - 564

Year of Publication: 1992

ISBN:0-7803-0798-4

Author

Michael D. McKay

Sponsors

ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 25, Downloads (12 Months): 229, Citation Count: 4

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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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CITED BY 4

	Jack P. C. Kleijnen, Five-stage procedure for the evaluation of simulation models through statistical techniques, Proceedings of the 28th conference on Winter simulation, p.248-254, December 08-11, 1996, Coronado, California, 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
	Vikas Kumar , Montse Mari , Marta Schuhmacher , José L. Domingo, Partitioning total variance in risk assessment: Application to a municipal solid waste incinerator, Environmental Modelling & Software, v.24 n.2, p.247-261, February, 2009
	Philip Prescott, Orthogonal-column Latin hypercube designs with small samples, Computational Statistics & Data Analysis, v.53 n.4, p.1191-1200, February, 2009