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Table des matières - Gilles Daniel

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Explorer les modèles par simulation : application aux analyses de sensibilité. 85<br />

3.6. Bibliographie<br />

[AND 98] ANDRES T.H., “SAMPLE2: Software to Generate Experimental Design for Large<br />

Sensitivity Analysis Experiments”, Proceedings of the Second International Symposium<br />

on Sensitivity Analysis of Model Output, Venice, Ca'Dolfin, avril 1998.<br />

[BAN 98] BANKS J. (ed.), Handbook of Simulation. Principles, Methodology, Advances,<br />

Applications, and Practice, New-York, Wiley & Sons, 1998.<br />

[BAR 74] BARD Y., Nonlinear parameter estimation, Academic Press, 1974.<br />

[BOX 87] BOX G.E.P., DRAPER N.R., Empirical Model Building and Response Surfaces, New<br />

York, Wiley, 1987.<br />

[BOX 05] BOX G.E.P., HUNTER J.S., HUNTER W.T., Statistics for experimenters, 2 nd Edition, New<br />

York, Wiley, 2005.<br />

[CHR 87] CHRISTENSEN R., Plane answers to complex questions: the theory of linear models,<br />

Berlin, Springer-Verlag, 1987.<br />

[CUK 73] CUKIER R. I., FORTUIN C. M., SHULER,K. E., PETSCHEK A. G., SCHAIBLY J. H.,<br />

“Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients I.<br />

Theory”, Journal of Chemical Physics, vol.59, p. 3873-3878, 1973.<br />

[DRO 97] DROESBEKE J.-J., FINE J., SAPORTA G. (Eds.), Plans d’Expériences, Applications à<br />

l’Entreprise, Paris, Editions Technip, 1997.<br />

[GIN 02] GINOT V., LE PAGE Ch., SOUISSI S, “A multi-agents architecture to enhance enduser<br />

individual based modelling”, Ecological ModelLing, vol.157, p. 23-41, 2002.<br />

[GIN 06] GINOT V., GABA S., BEAUDOUIN R., ARIÈS F., MONOD H., “Combined use of local<br />

and ANOVA-based global sensitivity analyses for the investigation of a stochastic<br />

dynamic model: Application to the case study of an individual-based model of a fish<br />

population”, Ecological Modelling (in press).<br />

[JAN 94] JANSEN M.J.W., ROSSING W.A.H., DAAMEN R.A., “Monte Carlo estimation of<br />

uncertainty contributions from several independent multivariate sources”, in<br />

Predictability and Non-Linear Modelling in Natural Sciences and Economics, Gasman J.,<br />

van Straten G. (eds.), Dordrecht, Kluwer, p. 334-343, 1994.<br />

[KLE 87] KLEIJNEN J.P.C., Statistical tools for simulation practitioners, New York, Marcel<br />

Dekker inc., 1987.<br />

[KOB 91] KOBILINSKY A., MONOD H., “Experimental <strong>des</strong>ign generated by group morphisms:<br />

an introduction“ Scandinavian Journal of Statistics, vol.18, p. 119-134, 1991.<br />

[KOB 97] KOBILINSKY A., « Les plans factoriels », in Plans d’Expériences, Applications à<br />

l’Entreprise, J.-J. Droesbeke, J. Fine et G. Saporta (eds.), Paris, Editions Technip, p.69-<br />

209, 1997.<br />

[LEB 97] LEBART L., MORINEAU A., PIRON M, Statistique exploratoire multidimensionnelle,<br />

Paris, Dunod, 2 e édition, 1997.<br />

[MAK 04] MAKOWSKI D., NAUD C., MONOD H., JEUFFROY M.-H., BARBOTTIN A., “Global<br />

sensitivity analysis for calculating the contribution of genetic parameters to the variance of

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