A latent class vector model for preference ratings
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DOI: 10.1007/BF02626091
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References listed on IDEAS
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Cited by:
- DeSarbo, Wayne S. & Selin Atalay, A. & Blanchard, Simon J., 2009.
"A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences,"
Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3217-3230, June.
- Selin Atalay & Wayne S. Desarbo & Simon J. Blanchard, 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Post-Print hal-00458377, HAL.
- J. Vera & Rodrigo Macías & Willem Heiser, 2013. "Cluster Differences Unfolding for Two-Way Two-Mode Preference Rating Data," Journal of Classification, Springer;The Classification Society, vol. 30(3), pages 370-396, October.
- Rick L. Andrews & Ajay K. Manrai, 1999. "MDS Maps for Product Attributes and Market Response: An Application to Scanner Panel Data," Marketing Science, INFORMS, vol. 18(4), pages 584-604.
- Tomoya Okubo & Shin-ichi Mayekawa, 2015. "Modeling Viewpoint Shifts in Probabilistic Choice," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 412-427, June.
- Geert Soete & Willem Heiser, 1993. "A latent class unfolding model for analyzing single stimulus preference ratings," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 545-565, December.
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Keywords
Latent class analysis; Vector model; Preference analysis; EM Algorithm; Monte Carlo significance test;All these keywords.
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