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Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms · Study

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ChapterVariance-Based Sensitivity Analysis: Theory and Estimation Algorithms

Clémentine Prieur2017

Chapter2017

Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms

Clémentine Prieur · Stefano Tarantola

31 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

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 31 citations exist upstream.

References

2007Global sensitivity analysis using polynomial chaos expansions 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output 2002Making best use of model evaluations to compute sensitivity indices 1996Importance measures in global sensitivity analysis of nonlinear models 2010Adaptive sparse polynomial chaos expansion based on least angle regression 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory 1978Nonlinear sensitivity analysis of multiparameter model systems 1999Analysis of variance designs for model output

Cited by

2021A simple algorithm for global sensitivity analysis with Shapley effects 2025FORM-based global reliability sensitivity analysis of systems with multiple failure modes 2022Sensitivity Analysis of a Mathematical Model Simulating the Post-Hepatectomy Hemodynamics Response

Details

Year2017

Typechapter

Published2017-01-01

VenueSpringer eBooks

Languageen

Citations31

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

Identifiers

doi10.1007/978-3-319-12385-1_35

openalex_workW4301751616

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