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
Lingua originaleEnglish
Titolo della pubblicazione ospiteCLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS
Numero di pagine4
Stato di pubblicazionePubblicato - 2021
Evento13th Scientific Meeting of the Classification and Data Analysis Group - Firenze
Durata: 9 set 202111 set 2021


Convegno13th Scientific Meeting of the Classification and Data Analysis Group


  • Criticality index
  • categorical variables
  • ordinal data


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