a review on global sensitivity analysis methods
Evaluation of global sensitivity analysis methods for computational
Iooss B and Lemaоtre P (2015) A review on global sensitivity analysis methods Evaluation of global sensitivity analysis methods for computational structural |
What are sensitivity analysis methods?
Sensitivity analysis is a financial model that determines how target variables are affected based on changes in other variables known as input variables.
It is a way to predict the outcome of a decision given a certain range of variables.What are the methods of global sensitivity analysis?
There are many global sensitivity analysis methods including the Sobol's sensitivity estimates, the Fourier amplitude sensitivity test (FAST), and the Monte-Carlo-based regression–correlation indices.
Which tool is best for sensitivity analysis?
Tornado diagrams and spider diagrams are graphical tools that can help visualize the sensitivity and uncertainty of the decision problem, and compare the alternatives based on their sensitivity and robustness.
For global sensitivity analysis, Morris method requires the smallest number of sample points and can be used to get a preliminary and qualitative knowledge on sensitivity information.
Regression-based methods (e.g., PRCC) can be applied to the cases where the output is monotonically related to the input.
A review on global sensitivity analysis methods
8 avr. 2014 A review on global sensitivity analysis methods. C. Meloni and G. Dellino. Uncertainty management in Simulation-Optimization of Complex ... |
How to perform global sensitivity analysis of a catchment-scale
(2021) for a review on the use of random forests for We explored several Global Sensitivity Analysis methods in order to identify the most suitable ... |
A review on global sensitivity analysis methods
8 avr. 2014 A review on global sensitivity analysis methods. C. Meloni and G. Dellino. Uncertainty management in Simulation-Optimization of Complex ... |
Advanced methods for uncertainty assessment and global sensitivity
Manuscript under review for journal Atmos. Chem. Phys. However unlike global sensitivity analysis |
Global sensitivity analysis in hydrological modeling: Review of
new approach for model calibration that coupled the GLUE and variance-based SA methods and. 670. Page 31. 31 found that this integrated application enhanced |
A review on global sensitivity analysis methods
9 avr. 2014 This chapter makes a review in a complete methodologi- cal framework |
Sensitivity analysis methods in the biomedical sciences arXiv
12 janv. 2020 In this review paper we describe the most frequently used sensitivity ... Global sensitivity techniques can be either OAT or MAT |
Meta-modeling based efficient global sensitivity analysis for
10 avr. 2019 copyediting typesetting |
Fast sensitivity analysis methods for computationally expensive
Manuscript under review for journal Geosci. Global sensitivity analysis (GSA) is a critical approach in identifying which inputs or parameters. |
Global sensitivity analysis as a support for the generation of
19 juil. 2017 Results of the simplified models were validated against measured data and confirmed the validity of the approach for a simple yet robust ... |
A performance comparison of sensitivity analysis methods for - ORBi
The choice of sensitivity analysis methods for a model often relies on the behavior of model Hamby (1994) provided a comprehensive review on the global sensitivity approach, the significance of an input factor is evaluated by varying all |
Novel global sensitivity analysis methodology accounting - CORE
In this work, we review several local and global sensitivity analysis techniques ( Morris method, Sobol' indices and derivative based global sensitivities) and we |
Introduction: Sensitivity Analysis - Andrea Saltelli
istic methods as the local sensitivity analysis, the experimental design strategies, Iooss B, Lemaıtre P (2015) A review on global sensitivity analysis methods |
Importance measures in global sensitivity analysis - Andrea Saltelli
2 T Homma, A Saltelli A review of global SA methods, including the Monte Carlo based regression-correlation measures, the Fourier amplitude sensitivity test |
6 Global Sensitivity Analysis - econstor
13 jan 2017 · Many global sensitivity analysis methods are described in the literature, 3See Iooss and Lemaître (2014) for a comprehensive review |
Introduction to Sensitivity Analysis
for this subject: the deterministic methods as the local sensitivity analysis, the Iooss, B , Lemaître, P : A review on global sensitivity analysis methods In: Meloni |