Hierarchical bayes versus finite mixture conjoint analysis models: A comparison of fit, prediction, and partworth recovery

Journal of Marketing Research

Volumn 39, Issue 1, 2002, Pages 87-98

  Andrews, Rick L ^a   Ansari, Asim ^a   Currim, Imran S ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0036003876     PISSN: 00222437     EISSN: None     Source Type: Journal    
DOI: 10.1509/jmkr.39.1.87.18936     Document Type: Article

References (22)

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16. Estimating the dimension of a model
17. Metric conjoint segmentation methods: A Monte Carlo comparison
18. Discrete and continuous representations of unobserved heterogeneity in choice modeling
19. Commercial use of conjoint analysis: An update