Summary
Car switching data among 16 car segments was analyzed by an asymmetric multidimensional scaling. The car switching data was formed by rescaling a 16 × 16 car switching matrix whose (j, k) element represents the frequency with which any car in car segment j was traded-in for any car in car segment k. The asymmetric multidimensional scaling utilized in the present study represents each car segment as a point and a circle (shpere, hypershpere) centered at the point representing the car segment in a multidimensional Euclidean space. The resulting three-dimensional solution revealed size or price dimension, imports-captive imports-domestic dimension, and specialty dimension. It seems that radii of shperes might represent the relative dominance or attractiveness of car segments.
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Okada, A. (1988). Asymmetric Multidimensional Scaling of Car Switching Data. In: Gaul, W., Schader, M. (eds) Data, Expert Knowledge and Decisions. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73489-2_24
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DOI: https://doi.org/10.1007/978-3-642-73489-2_24
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