Sensitivity analysis of model output: variance-based methods make the difference

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Hauptverfasser:	Chan, Karen, Saltelli, Andrea, Tarantola, Stefano
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Calibration Computing methodologies > Modeling and simulation > Model development and analysis Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation Computing methodologies > Modeling and simulation > Simulation evaluation Mathematical model Numerical models Performance analysis Probability density function Sampling methods Sensitivity analysis Testing Theory of computation > Logic Theory of computation > Models of computation > Computability Uncertainty
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creator	Chan, Karen Saltelli, Andrea Tarantola, Stefano
description
doi_str_mv	10.1145/268437.268489
format	Conference Proceeding
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Saltelli, Andrea ; Tarantola, Stefano</creator><contributor>Healy, Kevin J. ; Andradóttir, Sigrún ; Nelson, Barry L. ; Withers, David H.</contributor><creatorcontrib>Chan, Karen ; Saltelli, Andrea ; Tarantola, Stefano ; Healy, Kevin J. ; Andradóttir, Sigrún ; Nelson, Barry L. ; Withers, David H.</creatorcontrib><identifier>ISBN: 078034278X</identifier><identifier>ISBN: 9780780342781</identifier><identifier>DOI: 10.1145/268437.268489</identifier><language>eng</language><publisher>Washington, DC, USA: IEEE Computer Society</publisher><subject>Calibration ; Computing methodologies -- Modeling and simulation -- Model development and analysis ; Computing methodologies -- Modeling and simulation -- Model development and analysis -- Model verification and validation ; Computing methodologies -- Modeling and simulation -- Simulation evaluation ; Mathematical model ; Numerical models ; Performance analysis ; Probability density function ; Sampling methods ; Sensitivity analysis ; Testing ; Theory of computation -- Logic ; 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identifier	ISBN: 078034278X
ispartof	1997 Winter Simulation Conference Proceedings, 1997, p.261-268
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Calibration Computing methodologies -- Modeling and simulation -- Model development and analysis Computing methodologies -- Modeling and simulation -- Model development and analysis -- Model verification and validation Computing methodologies -- Modeling and simulation -- Simulation evaluation Mathematical model Numerical models Performance analysis Probability density function Sampling methods Sensitivity analysis Testing Theory of computation -- Logic Theory of computation -- Models of computation -- Computability Uncertainty
title	Sensitivity analysis of model output: variance-based methods make the difference
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