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Berger, A (2010)

Large spread does not imply Benford's Law

Technical Report, Dept. of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada.

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



Abstract: Sharp universal bounds are given for the distance between normalised Lebesgue measure on R/Z and the distribution of log X mod 1, where X is uniform. The results dispel the popular belief that a random variable obeys Benfordís Law (at least approximately) whenever its spread is large.


Bibtex:
@TechReport{Ber, author = {Berger, Arno}, title = {Large Spread Does Not Imply {Benford's Law}}, type = {Preprint}, institution = {Department of Mathematical and Statistical Sciences, University of Alberta}, address = {Edmonton, AB, Canada}, year = {2010}, }


Reference Type: Preprint

Subject Area(s): Probability Theory