Preprint submitted to Statistics in Transition.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: Using the Euclidean distance statistical test of Benford’s law, we analyze 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 α = 0.05 and 17% at a significant level 0.01 ≤ α < 0.05, the remaining 21% shows a deviation from it (p values smaller than 0.01). In particular, 5% of countries “breaks” Benford’s law with a p value smaller than 0.001.
Bibtex:
@misc{,
author = {Campanelli, Leonardo},
year = {2022},
month = {},
pages = {},
title = {Breaking Benford's law: A statistical analysis of Covid-19 data using the Euclidean distance statistic},
}
Reference Type: Preprint
Subject Area(s): Medical Sciences