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Discussion of “The class of CUB models: statistical foundations, inferential issues and empirical evidence”

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Listed:
  • Roberto Colombi

    (University of Bergamo)

  • Sabrina Giordano

    (University of Calabria)

  • Anna Gottard

    (University of Florence)

Abstract

We contribute to the discussion of the paper of Piccolo and Simone by examining some issues concerning the multivariate extension of CUB and GEM models.

Suggested Citation

  • Roberto Colombi & Sabrina Giordano & Anna Gottard, 2019. "Discussion of “The class of CUB models: statistical foundations, inferential issues and empirical evidence”," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 441-444, September.
    • Handle: RePEc:spr:stmapp:v:28:y:2019:i:3:d:10.1007_s10260-019-00463-z
    DOI: 10.1007/s10260-019-00463-z
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    References listed on IDEAS

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    1. Domenico Piccolo & Rosaria Simone, 2019. "The class of cub models: statistical foundations, inferential issues and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 389-435, September.
    2. Roberto Colombi & Sabrina Giordano, 2019. "Likelihood-based tests for a class of misspecified finite mixture models for ordinal categorical data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(4), pages 1175-1202, December.
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