Randomized quasi-Monte Carlo methods in global sensitivity analysis

Author:

Ökten GirayORCID,Liu Yaning

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference37 articles.

1. Random Number Generation and Quasi-Monte Carlo Methods (Vol. 63);Niederreiter,1992

2. Sensitivity estimates for nonlinear mathematical models;Sobol’;Math Model Comput Exp,1993

3. Different numerical estimators for main effect global sensitivity indices;Kucherenko;Reliab Eng Syst Saf,2017

4. Accurate construction of high dimensional model representation with applications to uncertainty quantification;Liu;Reliab Eng Syst Saf,2016

5. On the use of low-discrepancy sequences;Tuffin;Monte Carlo Methods,1996

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