This article deals with ordinal effect measures in the cup models. They are mixture models for ordinal data with an uncertainty component, where the Uniform distribution is used to model indecision and the standard cumulative model is employed for the analysis of evaluation. We present probability-based measures for comparing clusters on ratings, while adjusting for other explanatory variables, and discuss marginal effects to address the interpretation of the results on the extreme categories of a cyber risk scale.

Effect Measures for Group Comparisons in a Two-Component Mixture Model: A Cyber Risk Analysis / Iannario, Maria; Tarantola, Claudia. - (2021), pp. 97-105. [10.1007/978-3-030-69944-4_11]

Effect Measures for Group Comparisons in a Two-Component Mixture Model: A Cyber Risk Analysis.

Maria Iannario
Primo
Methodology
;
2021

Abstract

This article deals with ordinal effect measures in the cup models. They are mixture models for ordinal data with an uncertainty component, where the Uniform distribution is used to model indecision and the standard cumulative model is employed for the analysis of evaluation. We present probability-based measures for comparing clusters on ratings, while adjusting for other explanatory variables, and discuss marginal effects to address the interpretation of the results on the extreme categories of a cyber risk scale.
2021
978-3-030-69943-7
Effect Measures for Group Comparisons in a Two-Component Mixture Model: A Cyber Risk Analysis / Iannario, Maria; Tarantola, Claudia. - (2021), pp. 97-105. [10.1007/978-3-030-69944-4_11]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/876849
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