This paper considers exponential and rational regression models that are nonlinear in some parameters. Recently, locally D-optimal designs for such models were investigated in [Melas, V. B., 2005. On the functional approach to optimal designs for nonlinear models. J. Statist. Plann. Inference 132, 93–116] based upon a functional approach. In this article a similar method is applied to construct maximin efficient D-optimal designs. This approach allows one to represent the support points of the designs by Taylor series, which gives us the opportunity to construct the designs by hand using tables of the coefficients of the series. Such tables are provided here for models with two nonlinear parameters. Furthermore, the recurrent formulas for c...
We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response linear...
We propose a new approach for identifying the support points of a locally optimal design when the mo...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...
This paper considers exponential and rational regression models that are nonlinear in some parameter...
This paper concerns locally optimal experimental designs for non-linear regression models. It is bas...
We study locally D-optimal designs for some exponential models that are frequently used in the biolo...
In this paper we consider locally optimal designs problems for rational regression models. In the ca...
Not AvailableIn the present study, the class of nonlinear models, with intrinsically linearly relate...
Most of the design work has focused on the linear regression model due to its simplicity. However, a...
We consider maximin and Bayesian D-optimal designs for nonlinear regression models. The maximin crit...
This chapter is an example-based guide to optimal design for nonlinear regression models. For clarit...
We extend the approach in [Ann. Statist. 38 (2010) 2499–2524] for iden-tifying locally optimal desig...
Finding optimal designs for nonlinear models is challenging in general. Although some recent results...
<p>We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response lin...
We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response linear...
We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response linear...
We propose a new approach for identifying the support points of a locally optimal design when the mo...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...
This paper considers exponential and rational regression models that are nonlinear in some parameter...
This paper concerns locally optimal experimental designs for non-linear regression models. It is bas...
We study locally D-optimal designs for some exponential models that are frequently used in the biolo...
In this paper we consider locally optimal designs problems for rational regression models. In the ca...
Not AvailableIn the present study, the class of nonlinear models, with intrinsically linearly relate...
Most of the design work has focused on the linear regression model due to its simplicity. However, a...
We consider maximin and Bayesian D-optimal designs for nonlinear regression models. The maximin crit...
This chapter is an example-based guide to optimal design for nonlinear regression models. For clarit...
We extend the approach in [Ann. Statist. 38 (2010) 2499–2524] for iden-tifying locally optimal desig...
Finding optimal designs for nonlinear models is challenging in general. Although some recent results...
<p>We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response lin...
We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response linear...
We use semidefinite programming (SDP) to find a variety of optimal designs for multi-response linear...
We propose a new approach for identifying the support points of a locally optimal design when the mo...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...