How collinearity affects mixture regression results-Reference-Cited by-同舟云学术

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How collinearity affects mixture regression results

Published:2014-05-07 Issue:4 Volume:26 Page:643-659
ISSN:0923-0645
Container-title:Marketing Letters
language:en
Short-container-title:Mark Lett

Author:

Becker Jan-Michael,Ringle Christian M.,Sarstedt Marko,Völckner Franziska

Publisher

Springer Science and Business Media LLC

Subject

Marketing,Economics and Econometrics,Business and International Management

Link

http://link.springer.com/content/pdf/10.1007/s11002-014-9299-9.pdf

Reference40 articles.

1. Andrews, R. L., & Currim, I. S. (2003a). A comparison of segment retention criteria for finite mixture logit models. Journal of Marketing Research, 40(20), 235–243.

2. Andrews, R. L., & Currim, I. S. (2003b). Retention of latent segments in regression-based marketing models. International Journal of Research in Marketing, 20(4), 315–321.

3. Andrews, R. L., Ainsle, A., & Currim, I. S. (2002a). An empirical comparison of logit choice models with discrete versus continuous representations of heterogeneity. Journal of Marketing Research, 39(4), 479–487.

4. Andrews, R. L., Ansari, A., & Currim, I. S. (2002b). Hierarchical Bayes versus finite mixture conjoint analysis models: a comparison of fit, prediction and partworth recovery. Journal of Marketing Research, 39(1), 87.

5. Andrews, R. L., Currim, I. S., Leeflang, P., & Lim, J. (2007). Estimating the SCAN*PRO model of store sales: HB, FM or just OLS? International Journal of Research in Marketing, 25(1), 22–33.

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