Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
| Barabesi, L, Cerioli, A, Cerasa, A and Perrotta, D (2026). Statistical Detection of Adversarial Compliance With Benford’s Law. Statistical Analysis and Data Mining: An ASA Data Science Journal 19(3). DOI:10.1002/sam.70081.
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| 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.
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| 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.
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| Piscopo, G, Ficcadenti, V, Giacalone, M and Longobardi, M (2026). Permutation-Based Inference for Benford’s Law under Skewed Generalized Error Distributions. Preprint.
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