Probabilistic Subset Conjunction
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DOI: 10.1007/s11336-002-0978-8
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- Huber, Joel & Klein, Noreen M, 1991. "Adapting Cutoffs to the Choice Environment: The Effects of Attribute Correlation and Reliability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(3), pages 346-357, December.
- E. Maris, 1999. "Estimating multiple classification latent class models," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 187-212, June.
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- Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
- Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Consistently inconsistent: The role of certainty, acceptability and scale in choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 81-93.
- Marley, A.A.J. & Swait, J., 2017. "Goal-based models for discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 72-88.
- J. DeShazo & Trudy Cameron & Manrique Saenz, 2009. "The Effect of Consumers’ Real-World Choice Sets on Inferences from Stated Preference Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 319-343, March.
- Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
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Keywords
noncompensatory decision strategies; conjunctive/disjunctive strategies; subset-conjunctive strategies; consideration sets; binary data; choice models; maximum likelihood estimation;All these keywords.
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