New skills in symbolic data analysis for official statistics

Rosanna Verde*, Vladimir Batagelj, Paula Brito, A. Pedro Duarte Silva, Simona Korenjak-Černe, Jasminka Dobša, Edwin Diday

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The paper draws attention to the use of Symbolic Data Analysis (SDA) in the field of Official Statistics. It is composed of three sections presenting three pilot techniques in the field of SDA. The three contributions range from a technique based on the notion of exactly unified summaries for the creation of symbolic objects, a model-based approach for interval data as an innovative parametric strategy in this context, and measures of similarity defined between a class and a collection of classes based on the frequency of the categories which characterize them. The paper shows the effectiveness of the proposed approaches as prototypes of numerous techniques developed within the SDA framework and opens to possible further developments.

Original languageEnglish
Pages (from-to)563-579
Number of pages17
JournalStatistical Journal of the IAOS
Volume40
Issue number3
DOIs
Publication statusPublished - 27 Aug 2024

Keywords

  • Aggregate data
  • Interval data
  • Mergeable summaries
  • S-concordance
  • S-discordance

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