Optimal design for multinomial choice experiments

Journal of Marketing Research

Volumn 39, Issue 2, 2002, Pages 214-227

  Kanninen, Barbara J ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035995550     PISSN: 00222437     EISSN: None     Source Type: Journal    
DOI: 10.1509/jmkr.39.2.214.19080     Document Type: Article

References (35)

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14. Using discrete choice experiments and multinomial logit choice models to forecast trial in a competitive retail environment: A fast food restaurant illustration
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16. Paired comparison and contingent valuation approaches to morbidity risk valuation
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21. Designing conjoint choice experiments using managers' prior beliefs
22. The role of the scale parameter in the estimation and comparison of multinomial logit models
23. Optimal paired comparison designs for factorial and quadratic models
24. Efficient sequential designs with binary data
25. Optimal design for percentile estimation of a quantal response curve