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Bayesian analysis of order-statistics models for ranking data

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  • Philip Yu

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File URL: http://hdl.handle.net/10.1007/BF02296147
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Bibliographic Info

Article provided by Springer in its journal Psychometrika.

Volume (Year): 65 (2000)
Issue (Month): 3 (September)
Pages: 281-299

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Handle: RePEc:spr:psycho:v:65:y:2000:i:3:p:281-299

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Web page: http://www.springerlink.com/link.asp?id=112911

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Related research

Keywords: data augmentation; Gibbs sampling; order-statistics model; ranking data;

References

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  1. Koop, G & Poirier, D J, 1994. "Rank-Ordered Logit Models: An Empirical Analysis of Ontario Voter Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 369-88, Oct.-Dec..
  2. Hajivassiliou, Vassilis & McFadden, Daniel & Ruud, Paul, 1996. "Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 85-134.
  3. Yai, Tetsuo & Iwakura, Seiji & Morichi, Shigeru, 1997. "Multinomial probit with structured covariance for route choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 195-207, June.
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Cited by:
  1. D'Elia, Angela & Piccolo, Domenico, 2005. "A mixture model for preferences data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 917-934, June.
  2. Lee, Paul H. & Yu, Philip L.H., 2010. "Distance-based tree models for ranking data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1672-1682, June.

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