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Benfordness of Chains of Truncated Beta Distributions via a Piecewise Constant Approximation

  • Tippawan Santiwipanont
  • Songkiat Sumetkijakan
  • Teerapot WiriyakraikulEmail author
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 808)

Abstract

A chain of truncated distributions is constructed from iteratively truncating an initial distribution on the right. We show that if the initial distribution is a piecewise constant approximation of the Beta distribution with parameters \(\alpha \) and 1 then the mantissas of the chain of truncated distributions converge to a mantissa-limit distribution distinct from the Benford’s law. For general approximating initial distributions, under some suitable conditions on these mantissas, we can conclude that the mantissa-limit distributions converge to the mantissa-limit distribution for the limiting initial distribution. As a result, we obtain an alternative proof of the fact that chains of truncated Beta distributions satisfy Benford’s law in the limit.

Keywords

Benford’s law First significant digits Truncated distributions Beta distribution 

Notes

Acknowledgment

The authors are grateful to the referees for their careful reading of the manuscript and their useful comments. The last author would like to thank the Development and Promotion of Science and Technology Talents Project (the DPST Scholarship) for the financial support.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tippawan Santiwipanont
    • 1
  • Songkiat Sumetkijakan
    • 1
  • Teerapot Wiriyakraikul
    • 1
    Email author
  1. 1.Department of Mathematics and Computer ScienceFaculty of Science Chulalongkorn UniversityBangkokThailand

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