| Foundations of optimum experimental design A Pázman (No Title), 1986 | 627 | 1986 |
| Design of experiments in nonlinear models L Pronzato, A Pázman Lecture notes in statistics 212 (1), 2013 | 232 | 2013 |
| Nonlinear statistical models A Pázman Springer Science & Business Media, 2013 | 168 | 2013 |
| Measures for designs in experiments with correlated errors WG Müller, A Pázman Biometrika 90 (2), 423-434, 2003 | 89 | 2003 |
| Applications of necessary and sufficient conditions for maximin efficient designs CH Müller, A Pázman Metrika 48, 1-19, 1998 | 84 | 1998 |
| Optimal design of experiments subject to correlated errors A Pázman, WG Müller Statistics & probability letters 52 (1), 29-34, 2001 | 56 | 2001 |
| An algorithm for the computation of optimum designs under a given covariance structure WG Müller, A Pázman Computational Statistics 14 (2), 197-211, 1999 | 54 | 1999 |
| Probability distribution of the multivariate nonlinear least squares estimates A Pázman Kybernetika 20 (3), 209-230, 1984 | 53 | 1984 |
| Criteria for optimal design of small-sample experiments with correlated observations A Pázman Kybernetika 43 (4), 453-462, 2007 | 43 | 2007 |
| Nonlinear experimental design based on the distribution of estimators A Pázman, L Pronzato Journal of Statistical Planning and Inference 33 (3), 385-402, 1992 | 38 | 1992 |
| Design of physical experiments (statistical methods) VV Fedorov, A Pazman Fortschritte der Physik 16 (6), 325-355, 1968 | 35 | 1968 |
| Nonlinear least squares-uniqueness versus ambiguity A Pazman Series Statistics 15 (3), 323-336, 1984 | 33 | 1984 |
| Design measures and approximate information matrices for experiments without replications WG Müller, A Pázman Journal of statistical planning and inference 71 (1-2), 349-362, 1998 | 32 | 1998 |
| A new interpretation of design measures A Pázman, WG Müller MODA 5—Advances in Model-Oriented Data Analysis and Experimental Design …, 1998 | 32 | 1998 |
| Correlated optimum design with parametrized covariance function. Justification of the Fisher information matrix and of the method of virtual noise. A Pazman | 27 | 2004 |
| Bias of LS estimators in nonlinear regression models with constraints. Part II: Biadditive models JB Denis, A Pázman Applications of Mathematics 44, 375-403, 1999 | 24 | 1999 |
| Some features of the optimal design theory–a survey A Pázman Statistics: A Journal of Theoretical and Applied Statistics 11 (3), 415-446, 1980 | 24 | 1980 |
| Small-sample distributional properties of nonlinear regression estimators(a geometric approach). A Pázman STATISTICS. 21 (3), 323-367, 1990 | 22 | 1990 |
| Geometry of Gaussian nonlinear regression. Parallel curves and confidence intervals A Pázman Kybernetika 18 (5), 376-396, 1982 | 22 | 1982 |
| On formulas for the distribution of nonlinear LS estimates A Pázman Statistics: A Journal of Theoretical and Applied Statistics 18 (1), 3-15, 1987 | 21 | 1987 |
Luc PronzatoCNRS - Université Côte d'AzurVerified email at i3s.unice.fr
