Add to ORKGFor an important example from the class of compartmental models we determine optimal designs, which are robust against misspecifications of the unknown model parameters. We propose a maximin approach based on D-efficiencies and provide designs that are optimal with respect to the particular choice of various parameter regions
The problem of constructing standardized maximin D-optimal designs for weighted polynomial regressio...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
For the compartmental model we determine optimal designs, which are robust against misspecifications...
Summary. For the compartmental model we determine optimal designs, which are robust against misspeci...
SIGLEAvailable from TIB Hannover: RR 8460(2003,35) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
For the binary response model, we determine optimal designs based on the D-optimal criterion which a...
We discuss design issues for pharmacokinetic and pharmacodynamic (PK/PD) models and provide closed f...
In this paper robust and efficient designs are derived for several exponential decay models. These ...
Locally optimal designs for nonlinear models require a single set of nominal values for the unknown ...
We construct efficient designs for the Michaelis-Menten enzyme kinetic model capable of checking mod...
We investigate optimal designs for discriminating between exponential regression models of different...
The optimal design of experiments for nonlinear (or generalized-linear) models can be formulated as ...
Censoring occurs in many industrial or biomedical ‘time to event’ experiments. Finding efficient des...
We consider maximin and Bayesian D -optimal designs for nonlinear regression models. The maximin cri...
The problem of constructing standardized maximin D-optimal designs for weighted polynomial regressio...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...
For the compartmental model we determine optimal designs, which are robust against misspecifications...
Summary. For the compartmental model we determine optimal designs, which are robust against misspeci...
SIGLEAvailable from TIB Hannover: RR 8460(2003,35) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
For the binary response model, we determine optimal designs based on the D-optimal criterion which a...
We discuss design issues for pharmacokinetic and pharmacodynamic (PK/PD) models and provide closed f...
In this paper robust and efficient designs are derived for several exponential decay models. These ...
Locally optimal designs for nonlinear models require a single set of nominal values for the unknown ...
We construct efficient designs for the Michaelis-Menten enzyme kinetic model capable of checking mod...
We investigate optimal designs for discriminating between exponential regression models of different...
The optimal design of experiments for nonlinear (or generalized-linear) models can be formulated as ...
Censoring occurs in many industrial or biomedical ‘time to event’ experiments. Finding efficient des...
We consider maximin and Bayesian D -optimal designs for nonlinear regression models. The maximin cri...
The problem of constructing standardized maximin D-optimal designs for weighted polynomial regressio...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
For many problems of statistical inference in regression modelling, the Fisher informa-tion matrix d...