Global Sensitivity Analysis for Statistical Model Parameters [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 revisions
Joseph L. Hart +2 more
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Sensitivity analysis methodology for battery degradation models
, 2022 Accurate degradation models are crucial to battery design and management. However, the time and resources required to improve the accuracy of the model input factors that the output is sensitive to, which is essential for elucidating the inherent ...
Williams Agyei , Appiah +3 more
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A Review on Global Sensitivity Analysis Methods [PDF]
, 2015 This chapter makes a review, in a complete methodological framework, of various global sensitivity analysis methods of model output. Numerous statistical and probabilistic tools (regression, smoothing, tests, statistical learning, Monte Carlo, \ldots) aim at determining the model input variables which mostly contribute to an interest quantity depending
Iooss, Bertrand, Lemaître, Paul
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Quantitative sensitivity analysis of surface attached optical fiber strain sensor [PDF]
, 2014 Optical fiber strain sensors, in particular, the fiber Bragg grating (FBG) type, are widely applied in different applications. The most common installation method is surface-attached.
Wan, KT
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Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments [PDF]
, 2013 This paper presents a detailed analysis of 10 flash flood events in the Mediterranean region using the distributed hydrological model MARINE. Characterizing catchment response during flash flood events may provide new and valuable insight into the ...
Dartus, Denis +9 more
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Global sensitivity analysis framework
, 2021 This Python package provides framework for Global Sensitivity Analysis for various types of test models, and additionally Life Cycle Assessment ...
Chris Mutel, Aleksandra Kim
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Global Poverty Estimates: A Sensitivity Analysis
IMF Working Papers, 2011 Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines.
Camelia Minoiu, Shatakshee Dhongde
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Global Sensitivity Analysis of CASC2D Hydrological Model Parameters [PDF]
长江科学院院报[Objectives] The parameter calibration of the CASC2D hydrological model is mainly based on manual trial-and-error methods. It lacks a global sensitivity analysis of model parameters and the identification of relationships between parameters and ...
LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie
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Method of hierarchical global sensitivity analysis and its application in groundwater models
地质科技通报Objective Sensitivity analysis is an crucial tool in groundwater modelling for measuring the importance of various model inputs, enabling better allocation of limited funds and resources to reduce predictive uncertainty. Methods In this paper, we propose
Yujiao LIU +4 more
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Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
Journal of Chemistry, 2018 Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate
Shengqiang Lin +3 more
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