Abstract

n this paper we present a suitable measure of risk for data expressed on an ordinal scale. The proposed indicator is based on the cumulative probabilities of the ordinal variable that represents the level of severity for different risk events. The method relies on the construction of a Criticality index which may be used as an initial view of the level of risk, for comparisons among environments, to indicate how risk changes over time, and to identify appropriate interventions. Along with the description of the methodology, we present two examples of application in statistical quality control field and in cyber risk evaluation
Original languageEnglish
Title of host publicationCLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS
Pages93-96
Number of pages4
DOIs
Publication statusPublished - 2021
Event13th Scientific Meeting of the Classification and Data Analysis Group - Firenze
Duration: 9 Sep 202111 Sep 2021

Conference

Conference13th Scientific Meeting of the Classification and Data Analysis Group
CityFirenze
Period9/9/2111/9/21

Keywords

  • Criticality index
  • categorical variables
  • ordinal data

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