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
Strange Design Points in Linear Regression
We discuss, partly on examples, several intuitively unexpected results in a standard linear regression model. We demonstrate that direct observations of the regression curve at a given point can not be substituted by observations at two very close neighboring points. On the opposite, we show that observations at two distant design points improve the variance of the estimator. In an experiment with correlated observations we show somewhat unexpected conditions under which a design point gives no...
A sufficient statistic and a nonstandard linearization in nonlinear regression
Optimal designs for the estimation of polynomial functionals
Optimum designs of experiments for uncorrelated observations on fields
Optimum experimental designs with a lack of a priori information. II. Designs for the estimation of the whole response function
Distribution of estimators and optimal experimental design in nonlinear regression
On the uniqueness of the M. L. estimates in curved exponential families
The ordering of experimental designs. A Hilbert space approach
Distribution of the weighted L.S. estimates in nonlinear models with symmetrical errors
A classification of nonlinear regression models and parameter confidence regions
Hilbert-space methods in experimental design
Optimum experimental designs with a lack of a priori information. I. Designs for the estimation of a finite-dimensional set of functionals
Probability distribution of the multivariate nonlinear least squares estimates
Geometry of Gaussian nonlinear regression. Parallel curves and confidence intervals
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