explicitly A -optimal designs for the most simple network with star configuration. Moreover, we consider the network with wheel … configuration and derive some conditions which simplify the numerical calculation of the corresponding A -optimal designs. …

Bayesian optimal designs for binary longitudinal responses analyzed with mixed logistic regression describing a linear … choice of prior distributions, maximin Bayesian D-optimal designs are proposed. The results show that the optimal number of … Bayesian D-optimal designs are highly efficient and robust under changes in priors. Locally D-optimal designs are also …

the optimal designs can be found analytically. …

In this paper D-optimal designs for free knot least squares spline estimation are investigated. In contrast to most of … estimated from the data, which yields to optimal design problems for nonlinear models. In some cases local D-optimal designs can … be found explicitly. Moreover, it is shown that the points of minimally supported D-optimal designs are increasing and …

In this paper D-optimal designs for free knot least squares spline estimation are investigated. In contrast to most of … estimated from the data, which yields to optimal design problems for nonlinear models. In some cases local D-optimal designs can … be found explicitly. Moreover, it is shown that the points of minimally supported D-optimal designs are increasing and …

the optimal designs can be found analytically. …

the context of design is to construct maximin optimal designs as those designs which maximize the minimum value of a real … unknown parameters. The maximin criterion is not differentiable and the construction of the associated optimal designs is … therefore difficult to achieve in practice. In the present paper the relationship between maximin optimal designs and a class of …