Design of experiments within the Möbius modeling environment

Tod Courtney, Shravan Gaonkar, Michael G. McQuinn, Eric Rozier, William H Sanders, Patrick Webster

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

Abstract

Models of complex systems often contain model parameters for important rates, probabilities, and initial state values. By varying the parameter values, the system modeler can study the behavior of the system under a wide range of system and environmental assumptions. However, exhaustive exploration of the parameter space of a large model is computationally expensive. Design of experiments techniques provide information about the degree of sensitivity of output variables to various input parameters. Design of experiments makes it possible to find parameter values that optimize measured outputs of the system by running fewer experiments than required by less rigorous techniques. This paper describes the design of experiments techniques that have been integrated in the Möbius tool.

Original languageEnglish (US)
Title of host publicationProceedings - 4th International Conference on the Quantitative Evaluation of Systems, QEST 2007
Pages161-162
Number of pages2
DOIs
StatePublished - Dec 1 2007
Event4th International Conference on the Quantitative Evaluation of Systems, QEST 2007 - Edinburgh, United Kingdom
Duration: Sep 17 2007Sep 19 2007

Publication series

NameProceedings - 4th International Conference on the Quantitative Evaluation of Systems, QEST 2007

Other

Other4th International Conference on the Quantitative Evaluation of Systems, QEST 2007
CountryUnited Kingdom
CityEdinburgh
Period9/17/079/19/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Statistics, Probability and Uncertainty
  • Control and Systems Engineering

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  • Cite this

    Courtney, T., Gaonkar, S., McQuinn, M. G., Rozier, E., Sanders, W. H., & Webster, P. (2007). Design of experiments within the Möbius modeling environment. In Proceedings - 4th International Conference on the Quantitative Evaluation of Systems, QEST 2007 (pp. 161-162). [4338251] (Proceedings - 4th International Conference on the Quantitative Evaluation of Systems, QEST 2007). https://doi.org/10.1109/QEST.2007.17