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Barabesi, L and Pratelli, L (2020). On the Generalized Benford law. Statistics & Probability Letters 160, 108702 .

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Balado, F and Silvestre, G (2023). Generalised Benford Law. Classic HTML Society Repository. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Balado, F and Silvestre, GC (2021). Benford's Law: Hammering a Square Peg Into a Round Hole?. 29th European Conference on Signal Processing (EUSIPCO), Dublin, Ireland, August, 2021, pp. 796-800. ISSN/ISBN: 978-9-0827-9707-7. View Complete Reference Online information Works that this work references Works that reference this work
Balado, F and Sylvestre, G (2023). General Distributions of Number Representation Elements. Preprint arXiv:2301.10547 [math.PR]; last accessed April 29, 2023. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benford’s law. Journal of the American Statistical Association. DOI:10.1080/01621459.2021.1891927. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST. DOI:10.1007/s11749-023-00881-y. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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/s10260-021-00588-0. View Complete Reference Online information Works that this work references Works that reference this work
Cerasa, A (2022). Testing for Benford’s Law in very small samples: Simulation study and a new test proposal. PLoS ONE 17(7), pp. e0271969. DOI:10.1371/journal.pone.0271969. View Complete Reference Online information Works that this work references Works that reference this work
Gao, J, Zhao, Y and Cui, R (2020). Research on the Applicability of Benford’s Law in Chinese Texts. Proceedings of 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM), Manchester, United Kingdom, pp. 13-17. DOI:10.1109/AIAM50918.2020.00009. View Complete Reference Online information Works that this work references Works that reference this work
Ngueilbaye, A, Huang, JZ, Khan, M and Wang, H (2023). Data quality model for assessing public COVID‑19 big datasets. The Journal of Supercomputing. DOI:10.1007/s11227-023-05410-0. View Complete Reference Online information Works that this work references No Bibliography works reference this work