… Our computational experience suggests that our conclusion that Bayesian optimal designs
outperform discrete choice designs constructed using linear design methodology will be at …

… Discussion on “The usefulness of Bayesian optimal designs for discrete choice experiments”,
Applied Stochastic Models in Business and Industry 27: 193–196. Rose, JM and Bliemer, …

… ‘Experimental design is perhaps the most important aspect of Discrete choice experiments
(DCEs) as this determines what model(s) can be estimated with what levels of precision’ [1]. …

… a method for generating optimal designs for such choice experiments and … design and
analysis of mixture experiments and the work on the optimal design of discrete choice experiments…

… In this paper, we therefore study I-optimal designs for discrete choice experiments … design
space plots of the two Bayesian optimal designs we computed and of the benchmark design …

… designs are outperformed by Bayesian optimal designs … in favor of Bayesian optimal design
for choice experiments in a wide vari… of Bayesian optimal designs and utility-neutral designs. …

… models of discrete choice, the precision of estimates of utility … to create optimal designs for
conjoint choice experiments to … the advantages offered by the Bayesian WTP-optimal design …

… In Section 2, we introduce the multinomial logit model and the Bayesian P-optimal design …
to construct Bayesian P-optimal designs. In Section 4, we set up computational experiments to …

… For this reason, in this article, we develop the methodology required to perform discrete
choice experiments involving mixtures as well as process variables. First, we present a …

… Bayesian optimal designs outperform locally optimal designs … and three-alternative Bayesian
optimal designs and compared … On the whole, the designs are not maximum utility balanced …