Comparing designs for computer simulation experiments

Rachel T. Johnson, Douglas Montgomery, Bradley Jones, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

The use of simulation as a modeling and analysis tool is wide spread. Simulation is an enabling tool for experimenting virtually on a validated computer environment. Often the underlying function for the results of a computer simulation experiment has too much curvature to be adequately modeled by a low order polynomial. In such cases finding an appropriate experimental design is not easy. This research uses prediction variance over the volume of the design region to evaluate computer simulation experiments assuming the modeler is interested in fitting a second order polynomial or a Gaussian Process model to the response data. Both space-filling and optimal designs are considered.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 Winter Simulation Conference, WSC 2008
Pages463-470
Number of pages8
DOIs
StatePublished - Dec 1 2008
Event2008 Winter Simulation Conference, WSC 2008 - Miami, FL, United States
Duration: Dec 7 2008Dec 10 2008

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Other

Other2008 Winter Simulation Conference, WSC 2008
CountryUnited States
CityMiami, FL
Period12/7/0812/10/08

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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  • Cite this

    Johnson, R. T., Montgomery, D., Jones, B., & Fowler, J. (2008). Comparing designs for computer simulation experiments. In Proceedings of the 2008 Winter Simulation Conference, WSC 2008 (pp. 463-470). [4736101] (Proceedings - Winter Simulation Conference). https://doi.org/10.1109/WSC.2008.4736101