Global sensitivity analysis of nonlinear mathematical models - An implementation of two complementing variance-based algorithms

A new approach for a global sensitivity analysis of nonlinear mathematical models is presented using the information provided by two complementing variance-based methods. As a first step, the model is evaluated applying a shared sampling strategy for both methods based on Sobol's quasi-random s...

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Bibliographic Details
Published in:Proceedings of the 2012 Winter Simulation Conference (WSC) pp. 1 - 12
Main Authors: Henkel, T., Wilson, H., Krug, W.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2012
Subjects:
Analytical models
Computational modeling
Indexes
Mathematical model
Sensitivity analysis
Uncertainty
ISBN:1467347795, 9781467347792
ISSN:0891-7736
Online Access:Get full text
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