Y. Bard, Nonlinear parameter estimation, 1974.

D. M. Bates and D. G. Watts, Relative curvature measures of nonlinearity, Journal of the Royal Statistical Society Ser. B, vol.42, pp.1-25, 1980.

D. M. Bates and D. G. Watts, Nonlinear regression analysis and its applications Wiley series in probability and mathematical statistics. Applied probability and statistics, 1988.

H. G. Bock, E. Kostina, and O. Kostyukova, Covariance Matrices for Parameter Estimates of Constrained Parameter Estimation Problems, SIAM Journal on Matrix Analysis and Applications, vol.29, issue.2, pp.626-642, 2007.
DOI : 10.1137/040617893

G. E. Box and G. C. Tiao, Bayesian Inference in Statistical Analysis, 1973.
DOI : 10.1002/9781118033197

P. Conrad, Y. M. Marzouk, N. Pillai, and . Smith, Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations, Journal of the American Statistical Association, vol.50, issue.516, 2015.
DOI : 10.1137/040615201

R. Cook and J. Witmer, A Note on Parameter-Effects Curvature, Journal of the American Statistical Association, vol.19, issue.392, pp.872-878, 1985.
DOI : 10.2307/2346325

D. Cox and D. Hinkley, Theoretical statistics, 1974.
DOI : 10.1007/978-1-4899-2887-0

A. R. Gallant, Confidence regions for the parameters of a nonlinear regression model, Mimeograph Series No. 1077, pp.633-643, 1976.

H. Haario, M. Laine, A. Mira, and E. Saksman, DRAM: Efficient adaptive MCMC, Statistics and Computing, vol.18, issue.2, pp.339-354, 2006.
DOI : 10.1093/biomet/88.4.1035
URL : http://www.math.helsinki.fi/reports/Preprint374.pdf

D. C. Hamilton, D. G. Watts, and D. M. Bates, Accounting for Intrinsic Nonlinearity in Nonlinear Regression Parameter Inference Regions, The Annals of Statistics, vol.10, issue.2, pp.386-393, 1982.
DOI : 10.1214/aos/1176345780
URL : http://doi.org/10.1214/aos/1176345780

R. I. Jennrich, Asymptotic Properties of Non-Linear Least Squares Estimators, The Annals of Mathematical Statistics, vol.40, issue.2, pp.633-643, 1969.
DOI : 10.1214/aoms/1177697731
URL : http://doi.org/10.1214/aoms/1177697731

E. Kostina and M. Nattermann, SECOND-ORDER SENSITIVITY ANALYSIS OF PARAMETER ESTIMATION PROBLEMS, International Journal for Uncertainty Quantification, vol.5, issue.3, pp.209-231, 2015.
DOI : 10.1615/Int.J.UncertaintyQuantification.2015010312

S. Marsili-libelli, S. Guerrizio, and N. Checchi, Confidence regions of estimated parameters for ecological systems, Ecological Modelling, vol.165, issue.2-3, pp.127-146, 2003.
DOI : 10.1016/S0304-3800(03)00068-1

W. Q. Meeker and L. A. Escobar, Teaching about approximate confidence regions based on maximum likelihood estimation, The American Statistician, vol.49, issue.1, pp.48-53, 1995.
DOI : 10.1080/00031305.1995.10476112

W. L. Oberkampf and M. F. Barone, Measures of agreement between computation and experiment: Validation metrics, Journal of Computational Physics, vol.217, issue.1, pp.5-36, 2006.
DOI : 10.1016/j.jcp.2006.03.037

A. Pázman, Nonlinear statistical models, 1994.
DOI : 10.1007/978-94-017-2450-0

R. Potock´ypotock´y and V. B. To, Confidence regions in nonlinear regression models, Applications of Mathematics, vol.37, issue.1, pp.29-39, 1992.

W. C. Rooney and L. T. Biegler, Design for model parameter uncertainty using nonlinear confidence regions, AIChE Journal, vol.72, issue.8, pp.1794-1804, 2001.
DOI : 10.1002/0471725315

G. Seber and C. Wild, Nonlinear regression, 1989.
DOI : 10.1002/0471725315

K. W. Vugrin, L. P. Swiler, R. M. Roberts, N. J. Stucky-mack, and S. P. Sullivan, Confidence region estimation techniques for nonlinear regression in groundwater flow: Three case studies, Water Resources Research, vol.307, issue.3, 2007.
DOI : 10.1016/0016-0032(79)90026-7