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A Generalized Kernel Method for Global Sensitivity Analysis
SIAM/ASA Journal on Uncertainty Quantification, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Barr 0004, Herschel Rabitz
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Global Sensitivity Analysis for Mixture Experiments
Technometrics, 2012A mixture experiment is characterized by having two or more inputs that are specified as a percentage contribution to a total amount of material. In such situations, the input variables are correlated because they must sum to one. Consequently, additional care must be taken when fitting statistical models or visualizing the effect of one or more inputs
Jason L. Loeppky +2 more
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A hybrid approach for global sensitivity analysis
Reliability Engineering & System Safety, 2017Abstract Distribution based sensitivity analysis (DSA) computes sensitivity of the input random variables with respect to the change in distribution of output response. Although DSA is widely appreciated as the best tool for sensitivity analysis, the computational issue associated with this method prohibits its use for complex structures involving ...
Souvik Chakraborty, Rajib Chowdhury
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Operations Research, 1995
In applications of operations research models, decision makers must assess the sensitivity of outputs to imprecise values for some of the model's parameters. Existing analytic approaches for classic optimization models rely heavily on duality properties for assessing the impact of local parameter variations, parametric programming for examining ...
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In applications of operations research models, decision makers must assess the sensitivity of outputs to imprecise values for some of the model's parameters. Existing analytic approaches for classic optimization models rely heavily on duality properties for assessing the impact of local parameter variations, parametric programming for examining ...
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Global Sensitivity Analysis for Fuzzy RDF Data
International Journal of Software Engineering and Knowledge Engineering, 2021The resource description framework (RDF) was adopted by the World Wide Web (W3C) as an essential semantic web standard and the RDF scheme. It accords the hard semantics in the description and wields the crisp metadata. However, it usually produces vague or ambiguous information. Consequently, fuzzy RDF helps deal with such special data by transforming
Hatem Soliman +2 more
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Global sensitivity analysis in inventory management
International Journal of Production Economics, 2007Abstract This paper deals with the sensitivity analysis (SA) of inventory management models when uncertainty in the input parameters is given full consideration. We make use of Sobol’ function and variance decomposition method for determining the most influential parameters on the model output. We first illustrate the method by means of an analytical
BORGONOVO, EMANUELE, PECCATI, LORENZO
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Global sensitivity analysis for mathematical models comparison
Computational and Applied Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
André Jacomel Torii +5 more
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Global sensitivity analysis in dynamic metabolic networks
Computers & Chemical Engineering, 2009Abstract In this work, we have performed global sensitivity analysis on a large-scale dynamic metabolic network through variance-based techniques. Time profiles for sensitivity indices have been calculated for each parameter, based on Sobol’ approach (2001) .
Jimena Di Maggio +2 more
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2017
After completing an uncertainty analysis , the next step is a global sensitivity analysis .
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After completing an uncertainty analysis , the next step is a global sensitivity analysis .
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