@article{fdi:010068763,
  title = {{A}ddressing factors fixing setting from given data : a comparison of different methods},
  author = {{M}ara, {T}. {A}. and {B}elfort, {B}. and {F}ontaine, {V}. and {Y}ounes, {A}nis},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper deals with global sensitivity analysis of computer model output. {G}iven an independent input sample and associated model output vector with possibly the vector of output derivatives with respect to the input variables, we show that it is possible to evaluate the following global sensitivity measures: (i) the {S}obol' indices, (ii) the {B}orgonovo's density-based sensitivity measure, and (iii) the derivative-based global sensitivity measure of {S}obol' and {K}ucherenko. {W}e {C}ompare the efficiency of the different methods to address factors fixing setting, an important issue in global sensitivity analysis. {F}irst, global sensitivity analysis of the {I}shigami function is performed with the different methods. {T}hen, they are applied to two different responses of a soil drainage model. {T}he results show that the polynomial chaos expansion for estimating {S}obol' indices is the most efficient approach.},
  keywords = {{F}actors fixing setting ; {V}ariance-based sensitivity measure ; {D}ensity-based sensitivity measure ; {D}erivative-based global sensitivity measure ; {S}imulated drainage experiment},
  booktitle = {},
  journal = {{E}nvironmental {M}odelling and {S}oftware},
  volume = {87},
  numero = {},
  pages = {29--38},
  ISSN = {1364-8152},
  year = {2017},
  DOI = {10.1016/j.envsoft.2016.10.004},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068763},
}