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Monte Carlo evaluation of derivative-based global sensitivity measures · Study

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ArticleMonte Carlo evaluation of derivative-based global sensitivity measures

Sergei S. Kucherenko2008

Article2008

Monte Carlo evaluation of derivative-based global sensitivity measures

Sergei S. Kucherenko · María Rodriguez-Fernández · Constantinos C. Pantelides · Nilay Shah

294 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Mathematical Approximation and Integration Gaussian Processes and Bayesian Inference

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References

1991Factorial Sampling Plans for Preliminary Computational Experiments 2007An effective screening design for sensitivity analysis of large models 1996Importance measures in global sensitivity analysis of nonlinear models 2002Sensitivity Analysis in Practice 1995About the use of rank transformation in sensitivity analysis of model output

Cited by

2020Sensitivity analysis methods in the biomedical sciences 2017Global sensitivity metrics from active subspaces 2012Efficient sampling methods for global reliability sensitivity analysis 2013Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties 2013Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests 2019A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots 2010A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices 2014Computing derivative-based global sensitivity measures using polynomial chaos expansions

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Details

Year2008

Typearticle

Published2008-05-22

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations294

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2008.05.006

openalex_workW2065359237

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