Importance measures in global sensitivity analysis of nonlinear models
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- Type
- article
- Published
- 1996-04-01
- Cited by
- 2,048
- References
- 36
- OpenAlex
- https://openalex.org/W2026645785
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:205126877
Keywords
Sobol sequence, Sensitivity (control systems), Nonlinear system, Measure (data warehouse), Novelty
References
- Comparison of Maximus/Bounding and Bayes/Monte Carlo for fault tree uncertainty analysis
- Uncertainty and sensitivity analysis results obtained in a preliminary performance assessment for the Waste Isolation Pilot Plant
- Factorial sampling plans for preliminary computational experiments
- Sensitivity analysis of model output: an investigation of new techniques
- An importance quantification technique in uncertainty analysis for computer models
- Sensitivity analysis for model output: performance of black box techniques on three international benchmark exercises
- Uncertainty and sensitivity analysis of a dry containment test problem for the MAEROS aerosol model
- FORTRAN 77 program and user's guide for the calculation of partial correlation and standardized regression coefficients
- Probabilistic sensitivity analysis for one‐dimensional reactive transport in porous media
- Statistics for experimenters
- A screening design for factorial experiments with interactions
- Sensitivity analysis of model output. Performance of the iterated fractional factorial design method
- Systems Analysis at the Molecular Scale
- A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis
- Development and global sensitivity analysis of a closed ecosystem model
- Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty Importance Measure
- Nonlinear sensitivity analysis of multiparameter model systems
- Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal
- Uniformly distributed sequences with an additional uniform property
- Sensitivity analysis of stochastic dynamical systems
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- Conception multi-physique et multi-objectif des cœurs de RNR-Na hétérogènes : développement d’une méthode d’optimisation sous incertitudes
- Diagnostic du colmatage des générateurs de vapeur à l'aide de modèles physiques et statistiques
- Bayesian framework for improved R&D decisions
- Active/Passive Optimization of Helicopter Rotor Blades for Improved Vibration, Noise, and Performance Characteristics.
- General foundations of high‐dimensional model representations
- MULTIPLE SURROGATES AND ERROR MODELING IN OPTIMIZATION OF LIQUID ROCKET PROPULSION COMPONENTS
- Propagation d'incertitudes et analyse de sensibilité pour la modélisation de l'infiltration et de l'érosion
- Sensitivity analysis in systems biology modelling and its application to a multi-scale model of blood glucose homeostasis
- Toward a more robust variance-based global sensitivity analysis of model outputs
- APPLICATION OF DYNAMIC GLOBAL SENSITIVITY ANALYSIS IN COMPLEX SYSTEMS
- Nonlinear estimation for model based fault diagnosis of nonlinear chemical systems
- Contributions à l'analyse de sensibilité et à l'analyse discriminante généralisée
- Vědecké výpočty v matematické biologii
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- Recommended Practice Regarding Selection, Application, and Interpretation of Sensitivity Analysis Methods Applied to Food Safety Process Risk Models
- Analyse de sensibilité et réduction de dimension. Application à l'océanographie
- Sensitivity Analysis for Functional Structural Plant Modelling
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