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A Constrained Clusterwise Regression Procedure for Benefit Segmentation

  • Daniel Baier
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Summary

A new procedure for benefit segmentation using clusterwise regression is presented. Constraints on the model parameters ensure that the derived benefit segments can be easily attached to single competing products under consideration. The new procedure is compared to other one-stage and two-stage procedures for benefit segmentation using data from the European air freight market.

Keywords

Loss Function Latent Class Market Structure Conjoint Analysis Iteration Phase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Daniel Baier
    • 1
  1. 1.Institute of Decision Theory and Operations ResearchUniversity of KarlsruheKarlsruheGermany

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