Efficient computational algorithm for optimal continuous experimental designs

The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs

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The Nonstandard Algorithm for Constructing Efficient Conjoint Experimental Designs

Conjoint analysis is a research technique for measuring consumer preferences, and it is a method for simulating consumers’ possible reactions to changes in current products or newly introduced products into an existing competitive market. One of the most critical steps in Conjoint analysis application is experimental designs construction. The purpose of an experimental design is to give a rough...

Optimal Designs Efficient

Linear regression models are among the models most used in practice, although the practitioners are often not sure whether their assumed linear regression model is at least approximately true. In such situations, only designs for which the linear model can be checked are accepted in practice. For important linear regression models such as polynomial regression, optimal designs do not have this ...

Advanced Experimental Design On “The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs”

Interior Point Methods for Optimal Experimental Designs

In this paper, we propose a primal IP method for solving the optimal experimental design problem with a large class of smooth convex optimality criteria, including A-, Dand pth mean criterion, and establish its global convergence. We also show that the Newton direction can be computed efficiently when the size of the moment matrix is small relative to the sample size. We compare our IP method w...