- Tytuł:
- Breaking Benfords law: a statistical analysis of COVID-19 data using the Euclidean distance statistic
- Autorzy:
- Campanelli, Leonardo
- Powiązania:
- https://bibliotekanauki.pl/articles/15023380.pdf
- Data publikacji:
- 2023-03-15
- Wydawca:
- Główny Urząd Statystyczny
- Tematy:
-
Benford's law
COVID-19 data - Opis:
- Using the Euclidean distance statistical test of Benford's law, we analyse the COVID-19 weekly case counts by country. While 62% of the 100 countries and territories considered in the present study conforms to Benford's law at a significant level of α = 0.05 and 17% at a significant level of 0 .01 ≤ α < 0.05, the remaining 21% shows a deviation from it (p values smaller than 0.01). In particular, 5% of the countries 'break' Benford's law with a p value smaller than 0.001.
- Źródło:
-
Statistics in Transition new series; 2023, 24, 2; 201-215
1234-7655 - Pojawia się w:
- Statistics in Transition new series
- Dostawca treści:
- Biblioteka Nauki
Artykuł