New skills in symbolic data analysis for official statistics-Reference-Cited by-同舟云学术

New skills in symbolic data analysis for official statistics

Published:2024-08-27 Issue:3 Volume:40 Page:563-579
ISSN:1874-7655
Container-title:Statistical Journal of the IAOS
language:
Short-container-title:SJI

Author:

Verde Rosanna¹,Batagelj Vladimir²³,Brito Paula⁴,Silva A. Pedro Duarte⁵,Korenjak-Černe Simona²⁶,Dobša Jasminka⁷,Diday Edwin⁸¹

Affiliation:

1. DMF – University of the Campania, Italy

2. IMFM, Ljubljana, Slovenia

3. University of Primorska, Koper, Slovenia

4. Faculty of Economia, Universidade do Porto & LIAAD-INESC TEC, Porto, Portugal

5. Universidade Católica Portuguesa, Católica Porto Business School, Portugal

6. University of Ljubljana, SEB, Ljubljana, Slovenia, Slovenia

7. Faculty of Organization and Informatics, University of Zagreb, Zagreb, Croatia

8. CEREMADE Laboratory, University Paris Dauphine, Paris, France

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.

Publisher

IOS Press

Reference25 articles.

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