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Global sensitivity analysis of computer models with functional inputs [PDF]

open access: yes, 2007
Global sensitivity analysis is used to quantify the influence of uncertain input parameters on the response variability of a numerical model. The common quantitative methods are applicable to computer codes with scalar input variables. This paper aims to
Iooss, Bertrand, Ribatet, Mathieu
core   +6 more sources

Quantile-oriented global sensitivity analysis of design resistance

open access: yesJournal of Civil Engineering and Management, 2019
The article investigates the application of a new type of global quantile-oriented sensitivity analysis (called QSA in the article) and contrasts it with established Sobol’ sensitivity analysis (SSA). Comparison of QSA of the resistance design value (0.1
Zdeněk Kala
doaj   +1 more source

Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea : factors affecting the biomass of fish and benthos [PDF]

open access: yes, 2014
Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models of complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled ...
Cameron, Angus   +3 more
core   +1 more source

Global Poverty Estimates: A Sensitivity Analysis

open access: yesIMF 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
openaire   +3 more sources

Optimizing Genetic Circuits by Global Sensitivity Analysis [PDF]

open access: yesBiophysical Journal, 2004
Artificial genetic circuits are becoming important tools for controlling cellular behavior and studying molecular biosystems. To genetically optimize the properties of complex circuits in a practically feasible fashion, it is necessary to identify the best genes and/or their regulatory components as mutation targets to avoid the mutation experiments ...
Feng, Xiao-jiang   +5 more
openaire   +2 more sources

Global Sensitivity Analysis of CASC2D Hydrological Model Parameters [PDF]

open access: yes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
doaj   +1 more source

Sensitivity analysis of spatial models using geostatistical simulation [PDF]

open access: yes, 2011
International audienceGeostatistical simulations are used to perform a global sensitivity analysis on a model Y = f(X1 ... Xk) where one of the model inputs Xi is a continuous 2D-field.
Bailly, Jean-Stéphane   +3 more
core   +2 more sources

Global Dynamics of an Age-Structured Tuberculosis Model with Vaccine Failure and Nonlinear Infection Force

open access: yesAxioms, 2023
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
doaj   +1 more source

Seismic Constraints on Interior Solar Convection [PDF]

open access: yes, 2010
We constrain the velocity spectral distribution of global-scale solar convective cells at depth using techniques of local helioseismology. We calibrate the sensitivity of helioseismic waves to large-scale convective cells in the interior by analyzing ...
DeRosa, M. L.   +2 more
core   +3 more sources

Global sensitivity analysis with dependence measures [PDF]

open access: yesJournal of Statistical Computation and Simulation, 2014
Global sensitivity analysis with variance-based measures suffers from several theoretical and practical limitations, since they focus only on the variance of the output and handle multivariate variables in a limited way. In this paper, we introduce a new class of sensitivity indices based on dependence measures which overcomes these insufficiencies ...
openaire   +3 more sources

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