A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data

Marketing Science · 1986 · Volume 5 · Issue 4

Abstract

A probabilistic multidimensional scaling model that estimates both location and variance parameters for proximity and preference data is described and compared to a deterministic scaling model. Simulated and empirical choice data are used to compare models. Variance estimates from the probabilistic model are used to test a hypothesis about the homogeneity of stimulus perception under alternative modes of stimulus presentation.

Keywords

probabilistic model, preference data, proximity data, multidimensional scaling

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