A function dataset for benchmarking in sensitivity analysis
In this paper a dataset of functions has been described which includes theoretical values of Sobol’ first-order and total order indices. This unique collection represents a valid benchmark to evaluate sensitivity analysis methodologies and allows the comparison of different technique outcomes. The benchmarking dataset was introduced in [1] following a practice already consolidated in many fields of research such as machine learning or Statistics. The dataset should be considered as an initial proposal open to being easily updated/extended/modified by new mathematical functions or models in the future.
AZZINI Ivano;
ROSATI Rossana;
2022-07-11
ELSEVIER BV
JRC124200
2352-3409 (online),
https://www.sciencedirect.com/science/article/pii/S2352340922002827,
https://publications.jrc.ec.europa.eu/repository/handle/JRC124200,
10.1016/j.dib.2022.108071 (online),
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