Preprint series: 12-10 , Preprints
62K05 Optimal designs
Abstract: A common strategy for avoiding information overload in multi-factor paired comparison experiments is to employ pairs of options which have different levels for only some of the factors in a study. For the practically important case where the factors fall into three groups such that all factors within a group have the same number of levels and where one is only interested in estimating the main effects, a comprehensive catalogue of D-optimal approximate designs is
presented. These optimal designs use at most three different types of pairs and have a block diagonal information matrix.
Keywords: optimal design; paired comparisons; choice experiments