Revisiting the Benford law: When the Benford-like distribution of leading digits in sets of numerical data is expectable?

G. Whyman, N. Ohtori, E. Shulzinger, Ed Bormashenko

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The Benford law states that the frequencies of decimal digits at the first place of numbers corresponding to various kinds of statistical or experimental data are not equal changing from 0.3 for 1 to 0.04 for 9. The corresponding frequencies’ distribution is described by the logarithmic function. As is shown in the present article, the Benford distribution is a particular case of a more general mathematical statement. Namely, if a function describing the dependence between two measurable quantities has a positive second derivative, then the mentioned above frequencies decrease for digits from 1 to 9. The exact Benford distribution is valid for the exponential function only. Explicit expressions for frequencies of leading digits are obtained and specified for the power, logarithmic, and tangent functions as examples. The kinematic experiment was performed to illustrate the above results. Also the tabulated data on thermal conductivities of liquids confirm the proposed formula for frequencies’ distribution.

Original languageEnglish
Pages (from-to)595-601
Number of pages7
JournalPhysica A: Statistical Mechanics and its Applications
Volume461
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Benford's law
  • Exemplifications
  • Functional dependence between quantities
  • Generalization

Fingerprint

Dive into the research topics of 'Revisiting the Benford law: When the Benford-like distribution of leading digits in sets of numerical data is expectable?'. Together they form a unique fingerprint.

Cite this