E. Plischke, An effective algorithm for computing global sensitivity indices (EASI), Reliability Engineering & System Safety, vol.95, issue.4, pp.354-360, 2010.
DOI : 10.1016/j.ress.2009.11.005

A. Saltelli, S. Tarantola, C. , and K. P. , A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output, Technometrics, vol.60, issue.1, pp.39-56, 1999.
DOI : 10.1007/BF01166355

I. M. Sobol-', Sensitivity analysis for nonlinear mathematical models, Mathematical Modeling and Computational Experiment, vol.1, pp.407-414, 1993.

I. M. Sobol-' and Y. L. Levitan, On the use of variance reducing multipliers in Monte Carlo computations of a global sensitivity index, Computer Physics Communications, vol.117, issue.1-2, pp.52-61, 1999.
DOI : 10.1016/S0010-4655(98)00156-8

S. Tarantola, D. Gatelli, M. , and T. A. , Random balance designs for the estimation of first order global sensitivity indices, Reliability Engineering & System Safety, vol.91, issue.6, pp.717-727, 2006.
DOI : 10.1016/j.ress.2005.06.003
URL : https://hal.archives-ouvertes.fr/hal-01065897

E. Borgonovo and E. Plischke, Sensitivity analysis: A review of recent advances, European Journal of Operational Research, vol.248, issue.3, 2015.
DOI : 10.1016/j.ejor.2015.06.032