Market segmentation with mixture regression models: Understanding measures that guide model selection
@article{Sarstedt2008MarketSW, title={Market segmentation with mixture regression models: Understanding measures that guide model selection}, author={M. Sarstedt}, journal={Journal of Targeting, Measurement and Analysis for Marketing}, year={2008}, volume={16}, pages={228-246} }
Owing to their considerable potential for market segmentation studies, mixture regression models have recently received increasing attention from both academics and practitioners. One fundamental difficulty with their application is related to the problem of model selection, that is, the choice regarding the number of segments. Retaining the correct number of segments is, however, crucial as many managerial decisions depend on this decision. Since the proper number of segments is unknown in… Expand
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References
SHOWING 1-10 OF 77 REFERENCES
Evaluating the Appropriateness of Market Segmentation Solutions Using Artificial Neural Networks and the Membership Clustering Criterion
- Computer Science
- 2002
- 37
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
- Mathematics
- 2007
- 5,454
- PDF
Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data
- Computer Science
- Data Mining
- 2010
- 154