M. D. Morris, Factorial Sampling Plans for Preliminary Computational Experiments, Technometrics, vol.1, issue.2, pp.161-174, 1991.
DOI : 10.2307/1266468

F. Campolongo and A. Saltelli, Design of experiments, Sensitivity Analysis, Probability and Statistics Series, p.5163, 2000.

F. Campolongo, J. Cariboni, and A. Saltelli, An effective screening design for sensitivity analysis of large models, Environmental Modelling & Software, vol.22, issue.10, pp.1509-1518, 2007.
DOI : 10.1016/j.envsoft.2006.10.004

A. Saltelli, P. Annoni, I. Azzini, F. Campolongo, M. Ratto et al., Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index, Computer Physics Communications, vol.181, issue.2, pp.259-270, 2010.
DOI : 10.1016/j.cpc.2009.09.018

F. Campolongo, A. Saltelli, and J. Cariboni, From screening to quantitative sensitivity analysis. A unified approach, Computer Physics Communications, vol.182, issue.4, pp.978-988, 2011.
DOI : 10.1016/j.cpc.2010.12.039

F. Campolongo and R. D. Braddock, The use of graph theory in the sensitivity analysis of the model output: a second order screening method, Reliability Engineering & System Safety, vol.64, issue.1, pp.1-12, 1999.
DOI : 10.1016/S0951-8320(98)00008-8

R. A. Cropp and R. D. Braddock, The New Morris Method: an efficient second-order screening method, Reliability Engineering & System Safety, vol.78, issue.1, pp.77-83, 2002.
DOI : 10.1016/S0951-8320(02)00109-6

J. Fédou and M. Rendas, Equitable (d, m)-edge designs for Sensitivity Analysis

A. Saltelli, M. Ratto, S. Tarantola, and F. Campolongo, Sensitivity analysis practices: Strategies for model-based inference, Reliability Engineering & System Safety, vol.91, issue.10-11, pp.1109-1125, 2006.
DOI : 10.1016/j.ress.2005.11.014

H. Moon, A. M. Dean, and T. J. Santner, Two-Stage Sensitivity-Based Group Screening in Computer Experiments, Technometrics, vol.102, issue.4, pp.376-387, 2012.
DOI : 10.1080/00401706.2012.725994

T. Muehlenstaedt, O. Roustant, L. Carraro, and S. Kuhnt, Data-driven Kriging models based on FANOVA-decomposition, Statistics and Computing, vol.34, issue.4, pp.723-738, 2012.
DOI : 10.1007/s11222-011-9259-7

URL : https://hal.archives-ouvertes.fr/hal-00537781