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|Title:||A comparison of two sampling methods for global sensitivity analysis|
|Authors:||TARANTOLA Stefano; BECKER WILLIAM EDWARD; ZEITZ Dirk|
|Citation:||COMPUTER PHYSICS COMMUNICATIONS vol. 183 no. 5 p. 1061–1072|
|Publisher:||ELSEVIER SCIENCE BV|
|Type:||Articles in periodicals and books|
|Abstract:||We compare the convergence properties of two different quasi-random sampling designs – Sobol’s quasi-Monte Carlo, and Latin supercube sampling in variance-based global sensitivity analysis. We use the non-monotonic V-function of Sobol’ as base case-study, and compare the performance of both sampling strategies at increasing sample size and dimensionality against analytical values. The results indicate that in general, the Sobol’ design performs better, however the Latin supercube sampling design appears to offer advantages in specific cases, such as smaller sample sizes and medium dimensionality.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
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