Improving model understanding using statistical screening

Timothy R.B. Taylor, David N. Ford, Andrew Ford

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Models of dynamic systems are often constructed to improve system performance by identifying and modifying structures and parameters that drive system behavior. Once identified, these can be used to design and test policies for performance improvement. A preliminary step in developing policies is the identification of high leverage parameters and structures, the influential model sections that drive system behavior. The current work describes the use of statistical screening as a tool to improve model understanding, explanation, and development with a six step process. Statistical screening offers system modelers a user-friendly tool that can be used to help explain how model structure drives behavior.

Original languageEnglish
Title of host publicationProceedings of the 2010 Winter Simulation Conference, WSC'10
Number of pages11
StatePublished - 2010
Event2010 43rd Winter Simulation Conference, WSC'10 - Baltimore, MD, United States
Duration: Dec 5 2010Dec 8 2010

Publication series

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


Conference2010 43rd Winter Simulation Conference, WSC'10
Country/TerritoryUnited States
CityBaltimore, MD

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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