Abstract
This article provides a general procedure for estimating consumer preference distributions without having to prespecify their forms. Using linear programming, it minimizes the sum of absolute errors between observed and predicted proportions of consumer choices in paired comparison tests. Extensions of the procedure for estimating multidimensional distributions are also discussed.
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