Fitting and testing carroll's weighted unfolding model for preferences
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DOI: 10.1007/BF02291841
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References listed on IDEAS
- Clyde Coombs, 1975. "A note on the relation between the vector model and the unfolding model for preferences," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 115-116, March.
- J. Ramsay, 1969. "Some statistical considerations in multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 167-182, June.
- V. Srinivasan & Allan Shocker, 1973. "Linear programming techniques for multidimensional analysis of preferences," Psychometrika, Springer;The Psychometric Society, vol. 38(3), pages 337-369, September.
- J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
- Joseph Bennett & William Hays, 1960. "Multidimensional unfolding: Determining the dimensionality of ranked preference data," Psychometrika, Springer;The Psychometric Society, vol. 25(1), pages 27-43, March.
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Cited by:
- Junghyun Park & Minki Kim & Pradeep K Chintagunta, 2022. "Mapping Consumers’ Context-Dependent Consumption Preferences: A Multidimensional Unfolding Approach [An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations o," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(2), pages 202-228.
- Mark Davison, 1988. "A reformulation of the general Euclidean model for the external analysis of preference data," Psychometrika, Springer;The Psychometric Society, vol. 53(3), pages 305-320, September.
- Lee Cooper & Masao Nakanishi, 1983. "Two logit models for external analysis of preferences," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 607-620, December.
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Keywords
multidimensional scaling; utility theory; multiple regression; quadratic programming;All these keywords.
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