A risk indicator for categorical data

Silvia Angela Osmetti; Silvia Facchinetti

doi:10.36253/978-88-5518-340-6

A risk indicator for categorical data

Silvia Angela Osmetti, Silvia Facchinetti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS
Pages	93-96
Number of pages	4
DOIs	https://doi.org/10.36253/978-88-5518-340-6
Publication status	Published - 2021
Event	13th Scientific Meeting of the Classification and Data Analysis Group - Firenze Duration: 9 Sept 2021 → 11 Sept 2021

Conference

Conference	13th Scientific Meeting of the Classification and Data Analysis Group
City	Firenze
Period	9/9/21 → 11/9/21

Keywords

Criticality index
categorical variables
ordinal data

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10.36253/978-88-5518-340-6

Cite this

@inproceedings{49b1077dd34f42f384b3634819675618,

title = "A risk indicator for categorical data",

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",

keywords = "Criticality index, categorical variables, ordinal data, Criticality index, categorical variables, ordinal data",

author = "Osmetti, {Silvia Angela} and Silvia Facchinetti",

year = "2021",

doi = "10.36253/978-88-5518-340-6",

language = "English",

isbn = "978-88-5518-340-6",

pages = "93--96",

booktitle = "CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS",

note = "13th Scientific Meeting of the Classification and Data Analysis Group ; Conference date: 09-09-2021 Through 11-09-2021",

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TY - GEN

T1 - A risk indicator for categorical data

AU - Osmetti, Silvia Angela

AU - Facchinetti, Silvia

PY - 2021

Y1 - 2021

N2 - 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

AB - 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

KW - Criticality index

KW - categorical variables

KW - ordinal data

KW - Criticality index

KW - categorical variables

KW - ordinal data

UR - http://hdl.handle.net/10807/192665

U2 - 10.36253/978-88-5518-340-6

DO - 10.36253/978-88-5518-340-6

M3 - Conference contribution

SN - 978-88-5518-340-6

SP - 93

EP - 96

BT - CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS

T2 - 13th Scientific Meeting of the Classification and Data Analysis Group

Y2 - 9 September 2021 through 11 September 2021

ER -

A risk indicator for categorical data

Abstract

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Keywords

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