Number Theory

   

Statistical Relationships Involving Benford's Law, the Lognormal Distribution, and the Summation Theorem

Authors: Robert C. Hall

Regarding Benford's law, many believe that the statistical data sources follow a Benford's law probability density function(1/xLn(10))when, in actuality, it follows a Lognormal probability density function. The only data that strictly follows a Benford's law probability density function is an exponential function i.e. a number (base) raised to a power x. The other sets of data conform to a Lognormal distribution and, as the standard deviation approaches infinity, approximates a true Benford distribution. Also, the so called Summation theorem whereby the sum of the values with respect to the first digits is a uniform distribution only applies to an exponential function. The data derived from the aforementioned Lognormal distribution is more likely to conform to a Benford like distribution as the data seems to indicate.

Comments: 28 Pages.

Download: PDF

Submission history

[v1] 2017-10-11 11:54:50

Unique-IP document downloads: 21 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus