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Hassler, U and Hosseinkouchack, M (2019). Testing the Newcomb-Benford Law: experimental evidence. Applied Economics Letters, pp. 1-8.

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Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969. View Complete Reference Online information Works that this work references Works that reference this work
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Preprint arXiv:2104.07962 [q-fin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Cerqueti, R and Lupi, C (2022). Severe testing of Benford’s law. Preprint arXiv:2202.05237 [stat.ME]; last accessed February 21, 2022. View Complete Reference Online information Works that this work references Works that reference this work
de Kok, R and Rotundo, G (2022). Benford Networks. Stats 5(4), pp. 934-947. DOI:10.3390/stats5040054. View Complete Reference Online information Works that this work references Works that reference this work
Eckhartt, GM and Ruxton, GD (2023). Investigating and preventing scientific misconduct using Benford’s Law. Research Integrity and Peer Review 8(1). DOI:10.1186/s41073-022-00126-w. View Complete Reference Online information Works that this work references Works that reference this work
Parreño, SJE (2024). Epidemiological anomaly detection in Philippine public health surveillance data through Newcomb-Benford analysis. Journal of Public Health 46(3), pp. e483–e493 . DOI:10.1093/pubmed/fdae062. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Sharif, SN and Jaaman-Sharman, SH (2023). Robustness of Extended Benford’s Law Distribution and Its Properties. Proceedings of International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS 2022), N. Wahi et al. (Eds.), ACSR 98, pp. 195–204. View Complete Reference Online information Works that this work references No Bibliography works reference this work