In the exponential regression model with an autoregressive error structure exact D-optimal designs for weighted least squares analysis are investigated. It is shown that support points of a locally D-optimal design are discontinuous with respect to the correlation parameter. Also equidistant designs are proved to be considerably less efficient than maximin efficient D-optimal designs. A tool used in the study is the functional approach described in a recent book Melas (2006)
Abstract We study designs, optimal up to and including terms that are O(n−1), for weighted least squ...
This paper considers exponential and rational regression models that are nonlinear in some parameter...
The behaviour of D-optimal exact designs, constructed using a combinatorial algorithm, is examined u...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...
In the common linear and quadratic regression model with an autoregressive error structure exact $D$...
Abstract: In the common linear and quadratic regression model with an autore-gressive error structur...
In the common linear and quadratic regression model with an autoregressive error structure exact D-o...
We study locally D-optimal designs for some exponential models that are frequently used in the biolo...
We investigate optimal designs for discriminating between exponential regression models of different...
We investigate optimal designs for discriminating between exponential regression models of different...
In the common linear regression model the problem of determining op-timal designs for least squares ...
We consider the problem of construction of optimal experimental designs for linear regression models...
In this paper we investigate the problem of designing experiments for weighted least squares analys...
We consider the problem of designing experiments for regression in the presence of correlated observ...
Let $\tau\sp*$ be an exact $D$-optimal design for a given regression model $Y\sb \tau=X\sb \tau \bet...
Abstract We study designs, optimal up to and including terms that are O(n−1), for weighted least squ...
This paper considers exponential and rational regression models that are nonlinear in some parameter...
The behaviour of D-optimal exact designs, constructed using a combinatorial algorithm, is examined u...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...
In the common linear and quadratic regression model with an autoregressive error structure exact $D$...
Abstract: In the common linear and quadratic regression model with an autore-gressive error structur...
In the common linear and quadratic regression model with an autoregressive error structure exact D-o...
We study locally D-optimal designs for some exponential models that are frequently used in the biolo...
We investigate optimal designs for discriminating between exponential regression models of different...
We investigate optimal designs for discriminating between exponential regression models of different...
In the common linear regression model the problem of determining op-timal designs for least squares ...
We consider the problem of construction of optimal experimental designs for linear regression models...
In this paper we investigate the problem of designing experiments for weighted least squares analys...
We consider the problem of designing experiments for regression in the presence of correlated observ...
Let $\tau\sp*$ be an exact $D$-optimal design for a given regression model $Y\sb \tau=X\sb \tau \bet...
Abstract We study designs, optimal up to and including terms that are O(n−1), for weighted least squ...
This paper considers exponential and rational regression models that are nonlinear in some parameter...
The behaviour of D-optimal exact designs, constructed using a combinatorial algorithm, is examined u...