Preprint arXiv:2508.12915 [math.PR]; last accessed October 16, 2025.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: Benford's law is the statement that in many real world data sets, the probability of having digit d in base B, where 1≤d≤B, as the first digit is \log_{B}\!\left(\frac{d+1}{d}\right). We sometimes refer to this as weak Benford behavior, and we say that a data set exhibits strong Benford behavior in base B if the probability of having significand at most s, where 1≤s
Bibtex:
@misc{,
title={Benford behavior resulting from stick and box fragmentation processes},
author={Bruce Fang and Steven J. Miller},
year={2025},
eprint={2508.12915},
archivePrefix={arXiv},
primaryClass={math.PR},
url={https://arxiv.org/abs/2508.12915},
}
Reference Type: Preprint
Subject Area(s): Probability Theory, Statistics