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Gauvrit, N and Delahaye, J-P (2009)

Scatter and regularity imply Benford's Law ... and more

arXiv preprint -http://arxiv.org/pdf/0910.1359.pdf.

ISSN/ISBN: Not available at this time. DOI: Not available at this time.



Abstract: A random variable (r.v.) X is said to follow Benfordís law if log(X) is uniform mod 1. Many experimental data sets prove to follow an approximate version of it, and so do many mathematical series and continuous random variables. This phenomenon received some interest, and several explanations have been put forward. Most of them focus on specific data, depending on strong assumptions, often linked with the log function. Some authors hinted - implicitly - that the two most important characteristics of a random variable when it comes to Benford are regularity and scatter. In a first part, we prove two theorems, making up a formal version of this intuition: scattered and regular r.v.ís do approximately follow Benfordís law. The proofs only need simple mathematical tools, making the analysis easy. Previous explanations thus become corollaries of a more general and simpler one. These results suggest that Benfordís law does not depend on properties linked with the log function. We thus propose and test a general version of the Benfordís law. The success of these tests may be viewed as an a posteriori validation of the analysis formulated in the first part


Bibtex:
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Reference Type: Preprint

Subject Area(s): Probability Theory