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A Hierarchical Bayesian Multidimensional Scaling Methodology for Accommodating Both Structural and Preference Heterogeneity

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Author Info
Joonwook Park ()
Wayne DeSarbo
John Liechty
Abstract

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File URL: http://hdl.handle.net/10.1007/s11336-008-9064-1
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Article provided by Springer in its journal Psychometrika.

Volume (Year): 73 (2008)
Issue (Month): 3 (September)
Pages: 451-472
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Handle: RePEc:spr:psycho:v:73:y:2008:i:3:p:451-472

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Related research
Keywords: Bayesian multidimensional scaling; structural heterogeneity; preference heterogeneity; multidimensional unfolding model; multidimensional vector model; pharmaceutical marketing;

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Frank Busing & Patrick Groenen & Willem Heiser, 2005. "Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation," Psychometrika, Springer, vol. 70(1), pages 71-98, March. [Downloadable!] (restricted)
  2. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. " Constructive Consumer Choice Processes," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 25(3), pages 187-217, December.
  3. K. Deun & P. Groenen & W. Heiser & F. Busing & L. Delbeke, 2005. "Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model," Psychometrika, Springer, vol. 70(1), pages 45-69, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-27.

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