EconPapers    
Economics at your fingertips  
 

Sufficient conditions for Benford's law

Eugenio P. Balanzario and Jorge Sánchez-Ortiz

Statistics & Probability Letters, 2010, vol. 80, issue 23-24, 1713-1719

Abstract: We present two sufficient conditions for an absolutely continuous random variable to obey Benford's law for the distribution of the first significant digit. These two sufficient conditions suggest that Benford's law will not often be observed in everyday sets of numerical data. On the other hand, we recall that there are two processes by way of which a random variable can come close to following Benford's law. The first of these is the multiplication of independent random variables and the second is the exponentiation of a random variable to a large power. Our working tool is the Poisson sum formula of Fourier analysis. Like the central limit theorem, Benford's law has an asymptotic nature.

Keywords: Benford's; law; First; significant; digit (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(10)00208-7
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:80:y:2010:i:23-24:p:1713-1719

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:80:y:2010:i:23-24:p:1713-1719