We investigate optimal designs for discriminating between exponential regression models of different complexity, which are widely used in the biological sciences; see, e.g., Landaw (1995) or Gibaldi and Perrier (1982). We discuss different approaches for the construction of appropriate optimality criteria, and find sharper upper bounds on the number of support points of locally optimal discrimination designs than those given by Caratheodory?s Theorem. These results greatly facilitate the numerical construction of optimal designs. Various examples of optimal designs are then presented and compared to different other designs. Moreover, to protect the experiment against misspecifications of the nonlinear model parameters, we adapt the design c...
We propose a new approach for identifying the support points of a locally optimal design when the mo...
For an important example from the class of compartmental models we determine optimal designs, which ...
The paper is devoted to the explicit construction of optimal designs for discrimination between two ...
We investigate optimal designs for discriminating between exponential regression models of different...
We consider the problem of constructing optimal designs for model discrimination between competing r...
In this paper robust and efficient designs are derived for several exponential decay models. These ...
Censoring occurs in many industrial or biomedical ‘time to event’ experiments. Finding efficient des...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
This paper considers the problem of constructing optimal discriminating experimental designs for co...
The problem of constructing Bayesian optimal discriminating designs for a class of regression model...
Much of the work in the literature on optimal discrimination designs assumes that the models of int...
To aid in the discrimination between two, possibly nonlinear, regression models, we study the constr...
For the compartmental model we determine optimal designs, which are robust against misspecifications...
In this paper we derive locally D- and ED_p-optimal designs for the exponential, log-linear and thre...
Much work on optimal discrimination designs assumes that the models of interest are fullyspecified, ...
We propose a new approach for identifying the support points of a locally optimal design when the mo...
For an important example from the class of compartmental models we determine optimal designs, which ...
The paper is devoted to the explicit construction of optimal designs for discrimination between two ...
We investigate optimal designs for discriminating between exponential regression models of different...
We consider the problem of constructing optimal designs for model discrimination between competing r...
In this paper robust and efficient designs are derived for several exponential decay models. These ...
Censoring occurs in many industrial or biomedical ‘time to event’ experiments. Finding efficient des...
We consider design issues for toxicology studies when we have a continuous response and the true mea...
This paper considers the problem of constructing optimal discriminating experimental designs for co...
The problem of constructing Bayesian optimal discriminating designs for a class of regression model...
Much of the work in the literature on optimal discrimination designs assumes that the models of int...
To aid in the discrimination between two, possibly nonlinear, regression models, we study the constr...
For the compartmental model we determine optimal designs, which are robust against misspecifications...
In this paper we derive locally D- and ED_p-optimal designs for the exponential, log-linear and thre...
Much work on optimal discrimination designs assumes that the models of interest are fullyspecified, ...
We propose a new approach for identifying the support points of a locally optimal design when the mo...
For an important example from the class of compartmental models we determine optimal designs, which ...
The paper is devoted to the explicit construction of optimal designs for discrimination between two ...