A chain of truncated distributions is constructed from iter-atively 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 α 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.
CITATION STYLE
Santiwipanont, T., Sumetkijakan, S., & Wiriyakraikul, T. (2018). Benfordness of chains of truncated beta distributions via a piecewise constant approximation. In Studies in Computational Intelligence (Vol. 808, pp. 342–351). Springer Verlag. https://doi.org/10.1007/978-3-030-04263-9_26
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