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Cerqueti, R and Lupi, C (2023). Severe testing of Benford's law. TEST 32(2), pp. 677-694.

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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 Works that reference this work
Cano-Rodríguez, M (2025). How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP). Preprint arXiv:2506.09915 [econ.EM]; last accessed August 27, 2025. DOI:10.48550/arXiv.2506.09915. View Complete Reference Online information Works that this work references Works that reference this work
Cano-Rodríguez, M (2025). Deviations from Benford’s Law in Asset Valuations: Market Prices vs. Expert Estimates. Finance Research Letters 86. ISSN/ISBN:1544-6123. DOI:10.1016/j.frl.2025.108492. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Di Marzio, M, Fensore, S and Passamonti, C (2024). Validating Benfordness on contaminated data. Socio-Economic Planning Sciences 95, pp. 102008. DOI:10.1016/j.seps.2024.102008. View Complete Reference Online information Works that this work references Works that reference this work
Silva, A, Floquet, S and Lima, R (2023). Newcomb-Benford Law in Neuromuscular Transmission: Validation at Hyperkalemic Conditions. Preprint arXiv:2309.06965 [physics.bio-ph]; last accessed September 21, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work