Balado, F and Silvestre, GCM (2024). General Distributions of Number Representation Elements. Probability in the Engineering and Informational Sciences 38(3), pp. 594-616 . DOI:10.1017/S0269964823000207.
|
 |
|
|
|
Barabesi, L, Cerasa, A, Cerioli, A and Perotta, D (2021). A combined test of the Benford Hypothesis With Anti-fraud Applications. Proceedings of 13th Scientific Meeting of the Classification and Data Analysis Group, Florence, September 9-11. STAMPA, pp. 256-259. DOI:10.36253/978-88-5518-340-6.
|
 |
|
|
|
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.
|
 |
|
|
|
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.
|
 |
|
|
|
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.
|
 |
|
|
|
Cerioli, A, Barabesi, L, Cerasa, A and Perrotta, D (2022). Who is afraid of the probability-savvy fraudster?. Conference presentation at MBC2 2022 Models and Learning for Clustering and Classification 6th International Workshop, Catania.
|
 |
|
|
|
Cumbrera-Conde, I, Silva-Ramírez, E-L and Cumbrera, FL (2024). Signal processing analysis for detection of anomalies in numerical series. Expert Systems with Applications 255 Part D, pp. 124708. DOI:10.1016/j.eswa.2024.124708.
|
 |
|
|
|
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.
|
 |
|
|
|
Kössler, W, Lenz, H-J and Wang, XD (2023). Some new invariant sum tests and MAD tests for the assessment of Benford's Law. Preprint on ResearchSquare. DOI:10.21203/rs.3.rs-3336839/v1.
|
 |
|
|
|
Sarkandiz, MR (2024). Identifying the Hidden Nexus between Benford Law Establishment in Stock Market and Market Efficiency: An Empirical Investigation. Preprint arXiv:2501.02674 [econ.GN] last accessed January 24, 2025.
|
 |
|
|
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