Probabilistic Subset-Conjunctive Models for Heterogeneous Consumers
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چکیده
Vol. XLII (November 2005), 483–494 483 © 2005, American Marketing Association ISSN: 0022-2437 (print), 1547-7193 (electronic) *Kamel Jedidi is Professor of Marketing (e-mail: [email protected]), and Rajeev Kohli is Professor of Marketing (e-mail: [email protected]), Graduate School of Business, Columbia University. The authors thank the three anonymous JMR reviewers for their constructive suggestions and Sawtooth Software, McKinsey & Company, and Intelliquest for providing the personal computer choice data. They also thank Greg Allenby and Tim Gilbride for helpful discussions and clarifications regarding their work. KAMEL JEDIDI and RAJEEV KOHLI*
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Probabilistic Subset-Conjunctive Models for Heterogeneous Consumers
A variety of approaches have been used to infer decision rules used by consumers. These approaches include protocol methods, self-reports, and non-linear compensatory and noncompensatory models of judgement. But there is little work on inferring the rules from choice or preference data, a situation that stands in contrast with the great progress in data-analytic techniques for linear models. Th...
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Vol. XLII (November 2005), 483–494 483 © 2005, American Marketing Association ISSN: 0022-2437 (print), 1547-7193 (electronic) *Kamel Jedidi is Professor of Marketing (e-mail: [email protected]), and Rajeev Kohli is Professor of Marketing (e-mail: [email protected]), Graduate School of Business, Columbia University. The authors thank the three anonymous JMR reviewers for their constructive sugges...
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