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Calculating first-order sensitivity measures: A benchmark of some recent methodologies · Study

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Calculating first-order sensitivity measures: A benchmark of some recent methodologies

Debora Gatelli, Sergei S. Kucherenko, Marco Ratto, Stefano Tarantola

2008-04-08articleReliability Engineering & System Safety52 citationsclosed

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Probabilistic and Robust Engineering Design Optimal Experimental Design Methods Gaussian Processes and Bayesian Inference

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Citations in this library

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References

2002Making best use of model evaluations to compute sensitivity indices

2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach

1978Nonlinear sensitivity analysis of multiparameter model systems

2002Sensitivity Analysis in Practice

2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis

1995About the use of rank transformation in sensitivity analysis of model output

2005Random balance designs for the estimation of first order global sensitivity indices

1959Random Balance Experimentation

Cited by

2016Efficient Evaluation of Sobol’ Indices Utilizing Samples from an Auxiliary Probability Density Function

Details

Year2008

Typearticle

VenueReliability Engineering & System Safety

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.ress.2008.03.028

openalex_workW2018602967

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