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

Marica Manisera () and Paola Zuccolotto ()
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Marica Manisera: University of Brescia
Paola Zuccolotto: University of Brescia

Statistical Methods & Applications, 2019, vol. 28, issue 3, No 9, 465-470

Abstract: 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 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10260-019-00465-x

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