studies on the optimal design of choice experiments involving mixtures. We propose a method for generating an optimal design … overcome the problem that the optimal designs depend on the unknown parameter values, we adopt a Bayesian D-optimal design …

independent variables and dependence of information matrix on passive parameters, a locally D-optimal design was obtained for …

studies on the optimal design of choice experiments involving mixtures. We propose a method for generating an optimal design … overcome the problem that the optimal designs depend on the unknown parameter values, we adopt a Bayesian D-optimal design …

in the case where the universally optimal design does not exist. For this purpose, a new optimality criterion which … reflects the distance between a given design and an ideal universally optimal design is introduced. A necessary condition for …

We focus on the D-optimal design of screening experiments involving main-effects regression models, especially with …

This article describes how one optimal design method is given to the design of missile autopilots. This method profits … conditions, and the response speed is translated to an objective function. Thus, the optimal design of missile autopilot is … translated into the optimal design of a nonlinear system with multiple constraints. The optimization algorithm is found to be out …