Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Refine search results

Journals help

  1. 1 Statistics in Transition new series

Authors help

  1. 1 Campanelli L.

Years help

  1. 1 2023

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

Breaking Benford's law: a statistical analysis of COVID-19 data using the Euclidean distance statistic

100%
Campanelli L.
Statistics in Transition new series
|
2023
|
vol. 24
|
issue 2
201-215
EN
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.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.