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SALib: An open-source Python library for Sensitivity Analysis
SALib contains Python implementations of commonly used global sensitivity analysis methods, including Sobol (Sobol’ 2001, Andrea Saltelli (2002), Andrea Saltelli et al.
Jon Herman, Will Usher
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Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
Load modeling plays an important role in accessing and enhancing the dynamic stability of power systems. Though the Synthesis Load Model Considering Voltage Regulation of Distribution Network ( $\pi $ model) has high accuracy, its parameters are too ...
Xin Tian+5 more
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Sensitivity Analysis for Gaussian-Associated Features
This paper is concerned with the evaluation of the uncertainties associated with Gaussian-associated features following the GUM methodology. We show how sensitivity matrices necessary for a GUM uncertainty evaluation can be calculated and how the ...
Alistair Forbes
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Parameter Sensitivity Analysis of Co-Decisions
The purpose of this study is to examine the influence of different parameters on the legitimacy rate and effective efficiency of crowd decision-making and to guide decision-making in real life.
Li Li, Hongbo Sun, Xia Yao
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Sensitivity analysis of condominium lightning protection risk analysis [PDF]
Today we live in an accelerated world. In our environment there are more facilities to serve our needs than ever before, and today's devices have multiple functions, and probably they will gain new functions as well.
Zoltan Kasza
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In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin+4 more
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Sensitivity Analysis for Mirror-Stratifiable Convex Functions [PDF]
This paper provides a set of sensitivity analysis and activity identification results for a class of convex functions with a strong geometric structure, that we coined "mirror-stratifiable".
Fadili, Jalal+2 more
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Distributional sensitivity analysis
AbstractAmong the uses for global sensitivity analysis is factor prioritization. A key assumption for this is that a given factor can, through further research, be fixed to some point on its domain. For factors containing epistemic uncertainty, this is an optimistic assumption, which can lead to inappropriate resource allocation.
Allaire, Douglas L., Willcox, Karen E.
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Probabilistic sensitivity analysis of biochemical reaction systems [PDF]
Sensitivity analysis is an indispensable tool for studying the robustness and fragility properties of biochemical reaction systems as well as for designing optimal approaches for selective perturbation and intervention. Deterministic sensitivity analysis
Dempsey, William P.+2 more
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Hainan Wen,1 Shoujun Xie,1 Yanchao Liu,1 Yueyi Liang,1 Pan Zhang,1 Xiaohui Wang,1 Jianhui Li2 1Department of Clinical Laboratory, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, People’s Republic of China; 2Department of Preventive ...
Wen H+6 more
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