The Density of the Parameter Estimators when the Observations are Distributed Exponentially.
ABSTRACT - On Modified Information Matrices in Nonlinear Regression.
Sequential and iterative designs of experiments
Optimálny experiment
Geometrické metody v matematickej štatistike
Plans d'expérience pour les estimations de fonctionnelles non-linéaires
Hilbert-space methods in experimental design
Zachovanie informácie pri redukcii štatistických modelov merania
Optimum designs of experiments for uncorrelated observations on fields
Optimal designs for the estimation of polynomial functionals
Distribution of the weighted L.S. estimates in nonlinear models with symmetrical errors
The ordering of experimental designs. A Hilbert space approach
Distribution of estimators and optimal experimental design in nonlinear regression
A classification of nonlinear regression models and parameter confidence regions
On the uniqueness of the M. L. estimates in curved exponential families
Optimum experimental designs with a lack of a priori information. II. Designs for the estimation of the whole response function
A sufficient statistic and a nonstandard linearization in nonlinear regression
Probability distribution of the multivariate nonlinear least squares estimates
Mixture Sets and Convex Sets
Geometry of Gaussian nonlinear regression. Parallel curves and confidence intervals
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