- Author
- Campanelli Leonardo (All Saints University School of Medicine, Toronto, Canada)
- Title
- Breaking Benford's Law: a Statistical Analysis of COVID-19 Data Using the Euclidean Distance Statistic
- Source
- Statistics in Transition, 2023, vol. 24, nr 2, s. 201-215, aneks, tab., rys., wykr., bibliogr. 24 poz.
- Keyword
- COVID-19, Prawo Benforda, Analiza danych
COVID-19, Benford's Law, Data analysis - Note
- summ.
- Abstract
- 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. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics - Full text
- Show
- Bibliography
-
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- Cited by
- ISSN
- 1234-7655
- Language
- eng
- URI / DOI
- http://dx.doi.org/10.59170/stattrans-2023-028
