Fast Polyhedral Adaptive Conjoint Estimation
نویسندگان
چکیده
منابع مشابه
Fast Polyhedral Adaptive Conjoint Estimation
We propose and test new adaptive question design and estimation algorithms for partialprofile conjoint analysis. Polyhedral question design focuses questions to reduce a feasible set of parameters as rapidly as possible. Analytic center estimation uses a centrality criterion based on consistency with respondents’ answers. Both algorithms run with no noticeable delay between questions. We evalua...
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Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission, provided that full credit including © notice is given to the source. We gratefully acknowledge the contribution of Robert M. Freund who proposed the use of the analytic center and approximating ellipsoids and gave us detailed advice on the application of these methods. also contains (1) open source ...
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Journal of Marketing Research Vol. XLI (February 2004), 116–131 *Olivier Toubia is a graduate student, Marketing Group (e-mail: [email protected]), John R. Hauser is Kirin Professor of Marketing (e-mail: [email protected]), and Duncan I. Simester is a professor (e-mail: [email protected]), Sloan School of Management, Massachusetts Institute of Technology (MIT). The authors gratefully acknowledge the ...
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In response to the need for more rapid and iterative feedback on customer preferences, researchers are developing new web-based conjoint analysis methods that adapt the design of conjoint questions based on a respondent’s answers to previous questions. Adapting within a respondent is a difficult dynamic optimization problem and until recently adaptive conjoint analysis (ACA) was the dominant me...
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ژورنال
عنوان ژورنال: Marketing Science
سال: 2003
ISSN: 0732-2399,1526-548X
DOI: 10.1287/mksc.22.3.273.17743