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Bayesian analysis of order-statistics models for ranking data

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  • Philip Yu

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  • Philip Yu, 2000. "Bayesian analysis of order-statistics models for ranking data," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 281-299, September.
    • Handle: RePEc:spr:psycho:v:65:y:2000:i:3:p:281-299
    DOI: 10.1007/BF02296147
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    References listed on IDEAS

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    1. D. Brook & G. J. G. Upton, 1974. "Biases in Local Government Elections Due to Position on the Ballot Paper," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 23(3), pages 414-419, November.
    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. Frederick Mosteller, 1951. "Remarks on the method of paired comparisons: I. The least squares solution assuming equal standard deviations and equal correlations," Psychometrika, Springer;The Psychometric Society, vol. 16(1), pages 3-9, March.
    4. 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 369-388, Oct.-Dec..
    5. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
    6. 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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    Citations

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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.
    3. Amadou Sawadogo & Simplice Dossou-Gbété & Dominique Lafon, 2017. "Ties in one block comparison experiments: a generalization of the Mallows–Bradley–Terry ranking model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2621-2644, October.
    4. Luis A. Guzman & Victor A. Cantillo-Garcia & Julian Arellana & Olga L. Sarmiento, 2023. "User expectations and perceptions towards new public transport infrastructure: evaluating a cable car in Bogotá," Transportation, Springer, vol. 50(3), pages 751-771, June.
    5. Wiltrud Kuhlisch & Magnus Roos & Jörg Rothe & Joachim Rudolph & Björn Scheuermann & Dietrich Stoyan, 2016. "A statistical approach to calibrating the scores of biased reviewers of scientific papers," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(1), pages 37-57, January.
    6. Xu, Hang & Alvo, Mayer & Yu, Philip L.H., 2018. "Angle-based models for ranking data," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 113-136.
    7. Philip Yu & Paul Lee & W. Wan, 2013. "Factor analysis for paired ranked data with application on parent–child value orientation preference data," Computational Statistics, Springer, vol. 28(5), pages 1915-1945, October.

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