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A Bayesian Vector Multidimensional Scaling Procedure for the Analysis of Ordered Preference Data

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  • Fong, Duncan K. H.
  • DeSarbo, Wayne S.
  • Park, Joonwook
  • Scott, Crystal J.

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Suggested Citation

  • Fong, Duncan K. H. & DeSarbo, Wayne S. & Park, Joonwook & Scott, Crystal J., 2010. "A Bayesian Vector Multidimensional Scaling Procedure for the Analysis of Ordered Preference Data," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 482-492.
    • Handle: RePEc:bes:jnlasa:v:105:i:490:y:2010:p:482-492
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2009.ap08105
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    Cited by:

    1. Joonwook Park & Priyali Rajagopal & Wayne DeSarbo, 2012. "A New Heterogeneous Multidimensional Unfolding Procedure," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 263-287, April.
    2. Duncan Fong & Wayne DeSarbo & Zhe Chen & Zhuying Xu, 2015. "A Bayesian Vector Multidimensional Scaling Procedure Incorporating Dimension Reparameterization with Variable Selection," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1043-1065, December.
    3. Lin, L. & Fong, D.K.H., 2019. "Bayesian multidimensional scaling procedure with variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 1-13.
    4. Antonis A. Michis, 2021. "Wavelet Multidimensional Scaling Analysis of European Economic Sentiment Indicators," Journal of Classification, Springer;The Classification Society, vol. 38(3), pages 443-480, October.

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