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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

A maximum likelihood methodology for segmentation in conjoint models

Wedel, Michel; Vriens, Marco; DeSarbo, Wayne - 1991

Persistent link: https://www.econbiz.de/10000823926

Conjoint choice experiments: general characteristics and alternative model specifications

Haaijer, Rinus; Wedel, Michel - In: Conjoint measurement : methods and applications ; with …, (pp. 371-412). 2003

Persistent link: https://www.econbiz.de/10001998067

Assessing the effects of abstract attributes and brand familiarity in conjoint choice experiments

Wedel, Michel; Vriens, Marco; Bijmolt, Tammo H. A.; … - 2007

Persistent link: https://www.econbiz.de/10003541612

Conjoint choice experiments : general characteristics and alternative model specifications

Haaijer, Rinus; Wedel, Michel - In: Conjoint measurement : methods and applications, (pp. 199-229). 2007

Persistent link: https://www.econbiz.de/10003544631

Conjoint choice experiments : general characteristics and alternative model specifications

Haaijer, Rinus; Wedel, Michel - In: Conjoint measurement : methods and applications, (pp. 345-386). 2001

Persistent link: https://www.econbiz.de/10001690280

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

Concomitant variable latent class models for conjoint analysis

Kamakura, Wagner A. - In: International journal of research in marketing : IJRM ; … 11 (1994) 5, pp. 451-464

Persistent link: https://www.econbiz.de/10001175290

Differentiated Bayesian conjoint choice designs

Sándor, Zsolt (contributor); Wedel, Michel (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001772053

Concomitant Variable Latent Class Models for Conjoint Analysis

Kamakura, Wagner A. - 2014

We propose a unifying framework for benefit and demographic segmentation based on the analysis of rank-order choice data collected in conjoint studies. The model identifies a number of unobserved segments, estimates the conjoint model within each segment, and at the same time estimates the...

Persistent link: https://www.econbiz.de/10013055471