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Hierarchical Bayesian conjoint models incorporating measurement uncertainty

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  • John Liechty
  • Duncan Fong
  • Eelko Huizingh
  • Arnaud Bruyn

Abstract

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Suggested Citation

  • John Liechty & Duncan Fong & Eelko Huizingh & Arnaud Bruyn, 2008. "Hierarchical Bayesian conjoint models incorporating measurement uncertainty," Marketing Letters, Springer, vol. 19(2), pages 141-155, June.
    • Handle: RePEc:kap:mktlet:v:19:y:2008:i:2:p:141-155
    DOI: 10.1007/s11002-007-9026-x
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    References listed on IDEAS

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    1. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    2. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    3. Laroche, Michel & Kim, Chankon & Zhou, Lianxi, 1996. "Brand familiarity and confidence as determinants of purchase intention: An empirical test in a multiple brand context," Journal of Business Research, Elsevier, vol. 37(2), pages 115-120, October.
    4. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
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    Cited by:

    1. Goksel Yalcinkaya & Tevfik Aktekin & Sengun Yeniyurt & Setiadi Umar, 2017. "How often should a firm modify its products? A Bayesian analysis of automobile modification cycles," Marketing Letters, Springer, vol. 28(1), pages 85-97, March.

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