@article{RSA_2001__49_4_5_0, author = {Husson, Fran\c{c}ois}, title = {Construire un mod\`ele stochastique \`a partir d'un mod\`ele d\'eterministe}, journal = {Revue de Statistique Appliqu\'ee}, pages = {5--27}, publisher = {Soci\'et\'e fran\c{c}aise de statistique}, volume = {49}, number = {4}, year = {2001}, language = {fr}, url = {http://www.numdam.org/item/RSA_2001__49_4_5_0/} }
TY - JOUR AU - Husson, François TI - Construire un modèle stochastique à partir d'un modèle déterministe JO - Revue de Statistique Appliquée PY - 2001 SP - 5 EP - 27 VL - 49 IS - 4 PB - Société française de statistique UR - http://www.numdam.org/item/RSA_2001__49_4_5_0/ LA - fr ID - RSA_2001__49_4_5_0 ER -
Husson, François. Construire un modèle stochastique à partir d'un modèle déterministe. Revue de Statistique Appliquée, Tome 49 (2001) no. 4, pp. 5-27. http://www.numdam.org/item/RSA_2001__49_4_5_0/
Heteroscedastic non linear regression. Technometrics, 30, 327-338. | Zbl
et (1988).Bayesian approach for a nonlinear growth model. Biometrics 38, 953-961.
(1982).Transformation and Weighting in Regression. Chapman and Hall, London. | MR | Zbl
et (1988).The effect of estimating weights in weighted least squares. Journal of the American Statistical Association, 83, 1045 -1054. | MR | Zbl
, et (1988).Some simple methods for estimating intra-individual variability in nonlinear mixed effects models. Biometrics 49 59-73.
et (1993).Nonlinear models for repeated measurement data. Chapman and Hall, London.
et (1995).Utilisation de Donnees Intermédiaires pour Corriger la Prédiction de Modèles Mécanistes. Biometrics. 47, 1-12.
, et (1991).Validation et introduction d'aléas dans un modèle déterministe complexe : application à un modèle de croissance. PhD thesis, Institut National Agronomique Paris-Grignon, France.
(1997)Evaluation of CECOL a model of winter rape, Brassica Napus L. European Journal of Agronomy, 8, 205-214.
, et (1998)Small sample sensitivity analysis techniques for computer models, with an application to risk assessmnet (with discussions) Communications in Statistics, Part A-Theory and Methods, 9, 1749- 1874 | MR | Zbl
et (1980).Newton-Raphson and EM algorithms for linear mixed-effects models for repeated-measures data Journal of the Amencan Statistical Association, 83. 1014-1022. | MR | Zbl
et (1988).Nonlinear mixed effects models for repeated measures data. Biometrics, 46, 673-687. | MR
et (1990).Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 3, 519-530. | MR | Zbl
(1970).Applications of some measures of multivariate skewness and kurtosis in testing normality and robustness studies. Sankhya B, 36, 115-128. | MR | Zbl
(1974).A comparison of three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code. Technometrics, 21, 239-245. | MR | Zbl
, et (1979).Bayesian approach to nonlinear random effects models. Biometrics, 41, 1015-1023. | MR | Zbl
(1985).Nonlinear Regression. Wiley, New-York. | MR | Zbl
et (1989).Evaluation of methods for estimating population pharmacokinetic parameters. I. Michaelis-Menten model : Routine clinical pharmacokinetic data. Journal of pharmacokinetics and Biopharmaceutics, 8, 553- 571.
et (1980).Alternative approches to estimation ofpopulation pharmacokinetic parameters : Comparison with the nonlinear mixed effect model. Drug Metabolism Reviews, 15, 265-292.
, , et (1984).Estimation interindividual pharmacokinetic variability. Variability in Drug Therapy (eds. M. Rowland et al.). Raven Press, New-York.
, et (1985).Biométrie : Modélisation de phénomènes biologiques. Masson, Paris. | Zbl
, et (1993).Estimation and comparison ofparameters in stochastic growth models for barn owls. Growth, 44, 97-111.
et (1980).