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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.

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Arezzo, MF and Cerqueti, R (2023). A Benford’s Law view of inspections’ reasonability. Physica A: Statistical Mechanics and its Applications 632, Part 1, pp. 129294. DOI:10.1016/j.physa.2023.129294. 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
Hulme, PE, Ahmed, DA, Haubrock, PJ, Kaiser, BA, Kourantidou, M, Leroy, B and McDermott, SM (2023). Widespread imprecision in estimates of the economic costs of invasive alien species worldwide. Science of the Total Environment, pp. 167997. DOI:10.1016/j.scitotenv.2023.167997. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Lazebnik, T and Gorlitsky, D (2023). Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law?. Preprint arXiv:2307.01742 [cs.IR]; last accessed July 7, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pain, J-C and Croset, P (2023). Checking the reliability of opacity databases. Preprint arXiv:2304.02469 [physics.atom-ph]; last accessed April 19, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work