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ChapterDerivative-Based Global Sensitivity Measures

Sergey Kucherenko2015

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Chaptergreen2015

Derivative-Based Global Sensitivity Measures

Sergey Kucherenko · Bertrand Iooss

29 citations·0/0 files stored·Springer eBooks

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

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References

2007Global Sensitivity Analysis. The Primer 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 1991Factorial Sampling Plans for Preliminary Computational Experiments 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index 2002Making best use of model evaluations to compute sensitivity indices 2007An effective screening design for sensitivity analysis of large models 1996Importance measures in global sensitivity analysis of nonlinear models 1999Analysis of variance designs for model output

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2017Derivative-Based Global Sensitivity Measureschapter · 20 shared references 2010Derivative based global sensitivity measuresother · 17 shared references 2016Derivative-Based Global Sensitivity Measures and Their Link with Sobol’ Sensitivity Indiceschapter · 11 shared references 2018Sensitivity analysis approaches to high-dimensional screening problems at low sample sizearticle · 11 shared references 2014Computing derivative-based global sensitivity measures using polynomial chaos expansionsarticle · 10 shared references 2017Extending Morris method for qualitative global sensitivity analysis of models with dependent inputsarticle · 10 shared references

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Year2015

Typechapter

Published2015-01-01

VenueSpringer eBooks

Languageen

Citations29

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1007/978-3-319-11259-6_36-1

openalex_workW1991366063

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