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Latent class metric conjoint analysis

Latent class metric conjoint analysis A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Marketing Letters Springer Journals

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References (35)

Publisher
Springer Journals
Copyright
Copyright
Subject
Business and Management; Marketing
ISSN
0923-0645
eISSN
1573-059X
DOI
10.1007/BF00994135
Publisher site
See Article on Publisher Site

Abstract

A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented.

Journal

Marketing LettersSpringer Journals

Published: Dec 31, 2004

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