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Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone

  • Marica Manisera
  • Paola ZuccolottoEmail author
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Abstract

In this paper we discuss the article “The class of CUB models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo e Rosaria Simone. The main considered topic is the decision process that, according to the CUB paradigm, leads the respondent to express a rating about a latent trait on a given ordinal scale. We discuss a generalized formalization of this decision process, comprising the basic CUB model, some already existing extensions and possible future developments.

Keywords

Mixture distributions CUB models Decision process Rating Ordinal data Latent variables 

Notes

References

  1. D’Elia A, Piccolo D (2005) A mixture model for preference data analysis. Comput Stat Data Anal 49:917–934MathSciNetCrossRefzbMATHGoogle Scholar
  2. Manisera M, Zuccolotto P (2014) Modeling rating data with nonlinear CUB models. Comput Stat Data Anal 78:100–118MathSciNetCrossRefzbMATHGoogle Scholar
  3. Piccolo D (2003) On the moments of a mixture of uniform and shifted binomial random variables. Quad Stat 5:85–104Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.University of BresciaBresciaItaly

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