Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost.
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%0 Journal Article
%1 journals/envsoft/SheikholeslamiR19
%A Sheikholeslami, Razi
%A Razavi, Saman
%A Gupta, Hoshin V.
%A Becker, William
%A Haghnegahdar, Amin
%D 2019
%J Environmental Modelling and Software
%K dblp
%P 282-299
%T Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost.
%U http://dblp.uni-trier.de/db/journals/envsoft/envsoft111.html#SheikholeslamiR19
%V 111
@article{journals/envsoft/SheikholeslamiR19,
added-at = {2019-12-27T00:00:00.000+0100},
author = {Sheikholeslami, Razi and Razavi, Saman and Gupta, Hoshin V. and Becker, William and Haghnegahdar, Amin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20fd5bc4c32c98d12a473173f8c523d83/dblp},
ee = {https://doi.org/10.1016/j.envsoft.2018.09.002},
interhash = {bb8b3443618fcb8b77d71887b649ab25},
intrahash = {0fd5bc4c32c98d12a473173f8c523d83},
journal = {Environmental Modelling and Software},
keywords = {dblp},
pages = {282-299},
timestamp = {2020-01-09T07:48:37.000+0100},
title = {Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost.},
url = {http://dblp.uni-trier.de/db/journals/envsoft/envsoft111.html#SheikholeslamiR19},
volume = 111,
year = 2019
}
