New skills in symbolic data analysis for official statistics

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

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.

• Jezik: Angleški jezik
• Ključne besede: statistics, analysis of value, data base, aggregate data, interval data, mergeable summaries, s-concordance, s-discordance
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Recenzirani rokopis
• Leto izida: 2024
• Št. strani: Str. 563-579
• Številčenje: Vol. 40, iss. 3
• PID: 20.500.12556/RUL-181654
• UDK: 311
• ISSN pri članku: 1874-7655
• DOI: 10.3233/SJI-240013
• COBISS.SI-ID: 206800899
• Datum objave v RUL: 10.04.2026

Gradivo je del revije

• Naslov: Statistical journal of the IAOS
• Založnik: Sage
• ISSN: 1874-7655
• COBISS.SI-ID: 1347262

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: statistika, analiza vrednosti, baze podatkov