Campanelli, L (2022)

On the Euclidean distance statistic of Benford’s law

Communications in Statistics - Theory and Methods, pp. 1-24.

ISSN/ISBN: Not available at this time. DOI: 10.1080/03610926.2022.2082480}

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Abstract: We numerically compute test values of the Euclidean distance statistic of Benford’s law as a function of the sample size. We also find an approximate analytical expression of the cumulative distribution function of such a statistic that makes possible the computation of p values.

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Bibtex:
@article{doi:10.1080/03610926.2022.2082480, author = {Leonardo Campanelli}, title = {On the Euclidean distance statistic of Benford’s law}, journal = {Communications in Statistics - Theory and Methods}, volume = {0}, number = {0}, pages = {1-24}, year = {2022}, publisher = {Taylor & Francis}, doi = {10.1080/03610926.2022.2082480}, URL = { https://doi.org/10.1080/03610926.2022.2082480}, }

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Reference Type: Journal Article

Subject Area(s): Statistics

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