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Segmentation methods for metric conjoint analysis : a Monte Carlo comparison
Vriens, Marco; Wedel, Michel; Wilms, Tom - 1992
Persistent link: https://www.econbiz.de/10000843019
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A maximum likelihood methodology for segmentation in conjoint models
Wedel, Michel; Vriens, Marco; DeSarbo, Wayne - 1991
Persistent link: https://www.econbiz.de/10000823926
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Managing missing data
Vriens, Marco; Molton, Eric - 2007
Persistent link: https://www.econbiz.de/10003540554
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Prediction and profitability in market segmentation typing tools
Vriens, Marco; Bosch, Nathan; Vidden, Chad; Talwar, Jason - In: Journal of marketing analytics : JMA 10 (2022) 4, pp. 360-389
Persistent link: https://www.econbiz.de/10013463837
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The covariance matrix of mixture model parameter estimates using the EM algorithm when classes are well separated
Wedel, Michel - 1997
Persistent link: https://www.econbiz.de/10000973058
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Concominant variables in mixture models
Wedel, Michel - 1999
Persistent link: https://www.econbiz.de/10001393874
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Conjoint choice experiments: general characteristics and alternative model specifications
Haaijer, Rinus; Wedel, Michel - In: Conjoint measurement : methods and applications, (pp. 319-360). 1999
Persistent link: https://www.econbiz.de/10001444733
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Time-aggregation effects on the baseline of continuous-time and discrete-time hazard models
Hofstede, Frenkel ter; Wedel, Michel - In: Economics letters 63 (1999) 2, pp. 145-150
Persistent link: https://www.econbiz.de/10001398879
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Market segmentation : conceptual and methodological foundations
Wedel, Michel; Kamakura, Wagner A. - 2000 - 2. ed.
Persistent link: https://www.econbiz.de/10001422025
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A latent class binomial logit methodology for the analysis of paired comparison choice data
Wedel, Michel; DeSarbo, Wayne - 1992
Persistent link: https://www.econbiz.de/10000831791