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

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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.

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References

  • D’Elia A, Piccolo D (2005) A mixture model for preference data analysis. Comput Stat Data Anal 49:917–934

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  • Manisera M, Zuccolotto P (2014) Modeling rating data with nonlinear CUB models. Comput Stat Data Anal 78:100–118

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  • Piccolo D (2003) On the moments of a mixture of uniform and shifted binomial random variables. Quad Stat 5:85–104

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Correspondence to Paola Zuccolotto.

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Manisera, M., Zuccolotto, P. Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone. Stat Methods Appl 28, 465–470 (2019). https://doi.org/10.1007/s10260-019-00465-x

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  • DOI: https://doi.org/10.1007/s10260-019-00465-x

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