Results 31 to 40 of about 882,957 (263)
Global Sensitivity Analysis of CASC2D Hydrological Model Parameters [PDF]
[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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Global Poverty Estimates: A Sensitivity Analysis
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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Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models
This paper investigates the problem of global sensitivity analysis (GSA) of Dynamical Earth System Models and proposes a basis for how such analyses should be performed.
Hoshin V. Gupta, Saman Razavi
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Method of hierarchical global sensitivity analysis and its application in groundwater models
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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A Matlab toolbox for Global Sensitivity Analysis
AbstractGlobal Sensitivity Analysis (GSA) is increasingly used in the development and assessment of environmental models. Here we present a Matlab/Octave toolbox for the application of GSA, called SAFE (Sensitivity Analysis For Everybody). It implements several established GSA methods and allows for easily integrating others. All methods implemented in
Francesca Pianosi +2 more
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Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
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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An Inference Method for Global Sensitivity Analysis
Although there is a plethora of methods to estimate sensitivity indices associatedwith individual inputs, there is much less work on interaction effects of every order,especially when it comes to make inferences about the true underlying values ofthe indices.
Gildas Mazo, Laurent Tournier
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China bears a heavy burden due to tuberculosis (TB) with hundreds of thousands of people falling ill with the disease every year. Therefore, it is necessary to understand the effectiveness of current control measures in China.
Zhongkai Guo, Liang Zhang
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Distribution‐Based Global Sensitivity Analysis in Hydrology [PDF]
AbstractGlobal sensitivity analysis (GSA) is routinely used in academic setting to quantify the influence of input variability and uncertainty on predictions of a quantity of interest. Practical applications of GSA are hampered by its high computational cost, which arises from the need to run large (e.g., groundwater) models multiple times, and by its ...
Valentina Ciriello +2 more
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ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
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