Berger, A and Hill, TP (2020). The mathematics of Benford’s law: a primer. Statistical Methods & Applications.
This work is cited by the following items of the Benford Online Bibliography:
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Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily logreturns both point to huge nonconformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969.





Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily logreturns both point to huge nonconformity. Preprint arXiv:2104.07962 [qfin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969.





Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benford’s law. To appear in: Journal of the American Statistical Association. DOI:10.1080/01621459.2021.1891927.





Barabesi, L, Cerioli, A and Perrotta, D (2021). Forum on Benford’s law and statistical methods for the detection of frauds. Statistical Methods & Applications 30, pp. 767–778. DOI:10.1007/s10260021005880.





Cerqueti, R and Maggi, M (2021). Data validity and statistical conformity with Benford’s Law. Chaos, Solitons & Fractals 144, p. 110740
. DOI:10.1016/j.chaos.2021.110740.





Hill, TP (2020). A Widespread Error in the Use of Benford's Law to Detect Election and Other Fraud. Preprint arXiv:2011.13015 [math.PR]; posted November 25, 2020. Last accessed November 30, 2020.




