Improving model understanding using statistical screening

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

doi:10.1109/WSC.2010.5679144

Improving model understanding using statistical screening

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

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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 language	English
Title of host publication	Proceedings of the 2010 Winter Simulation Conference, WSC'10
Pages	417-427
Number of pages	11
DOIs	https://doi.org/10.1109/WSC.2010.5679144
State	Published - 2010
Event	2010 43rd Winter Simulation Conference, WSC'10 - Baltimore, MD, United States Duration: Dec 5 2010 → Dec 8 2010

Publication series

Name	Proceedings - Winter Simulation Conference
ISSN (Print)	0891-7736

Conference

Conference	2010 43rd Winter Simulation Conference, WSC'10
Country/Territory	United States
City	Baltimore, MD
Period	12/5/10 → 12/8/10

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

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10.1109/WSC.2010.5679144

Cite this

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title = "Improving model understanding using statistical screening",

abstract = "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.",

author = "Taylor, {Timothy R.B.} and Ford, {David N.} and Andrew Ford",

year = "2010",

doi = "10.1109/WSC.2010.5679144",

language = "English",

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series = "Proceedings - Winter Simulation Conference",

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AU - Taylor, Timothy R.B.

AU - Ford, David N.

AU - Ford, Andrew

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N2 - 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.

AB - 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.

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U2 - 10.1109/WSC.2010.5679144

DO - 10.1109/WSC.2010.5679144

M3 - Conference contribution

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SN - 9781424498666

T3 - Proceedings - Winter Simulation Conference

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BT - Proceedings of the 2010 Winter Simulation Conference, WSC'10

T2 - 2010 43rd Winter Simulation Conference, WSC'10

Y2 - 5 December 2010 through 8 December 2010

ER -

Improving model understanding using statistical screening

Abstract

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Conference

ASJC Scopus subject areas

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