Choosing Optimal Designs for Pair-Wise Metric Conjoint Experiments
نویسنده
چکیده
This paper presents an approach to the optimal fixed experimental design for pair-wise metric conjoint studies. We first propose a linear model suitable for metric paired comparison conjoint analysis. Following Bayesian decision theory, optimal design problems in pairwise metric conjoint analysis is then formally defined. Given the formal definition of the experimental design problems, algorithms for the identification for the optimal design are developed. The proposed methodology is applied to a hypothetical conjoint experimental design problem and major findings are discussed. (
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