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Goh, C (2020). Applying visual analytics to fraud detection using Benford's law. Journal of Corporate Accounting & Finance, pp. 1-7.

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Agyemang, EF, Mensah, JA and Nyarko, E (2023). How dependable is World Continental COVID-19 data? Disclosure of Inconsistencies in Daily Reportage Confirmed Cases, Recovered and Deaths During First Wave. Preprint – submitted to Heliyon. DOI:10.2139/ssrn.4516032. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Hanci, F (2022). Application of Benford’s law in agricultural production statistics. Journal of the National Science Foundation of Sri Lanka 50 (2), pp. 387-393. DOI:10.4038/jnsfsr.v50i2.10429. View Complete Reference Online information Works that this work references Works that reference this work
Handoko, BL, Willy and Ricky (2022). Application of Benford Law in Preventing Accounting Data Fraud. Proceedings of the 4th International Conference on Management Science and Industrial Engineering, pp.46 – 51 . DOI:10.1145/3535782.3535789. View Complete Reference Online information Works that this work references Works that reference this work
Kobiela, J and Dzierwa, P (2024). Application of Benford’s Law to the Identification of Non-authentic Digital Images. Proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, pp. 115-129 . DOI:10.1007/978-3-031-78049-3_12. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mörch, H and Hällgren, H (2022). Accounting manipulation - analyzing corporate subsidy recipients during the covid-19 pandemic. Masters thesis, Uppsala University, Sweden. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Morillas-Jurado, FG, Caballer-Tarazona, M and Caballer-Tarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID-19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046. 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
Parreño, SJE (2024). Analyzing crop production statistics of the Philippines using the newcomb-benford law. Multidisciplinary Science Journal 6(6), pp. 2024079–9.. DOI:10.31893/multiscience.2024079. View Complete Reference Online information Works that this work references Works that reference this work
Pupokusumo, AW, Handoko, BL, Willy, Ricky and Hendra, S (2022). Benford’s Law as a Tool in Detecting Financial Statement Fraud. Journal of Theoretical and Applied Information Technology 100(14), pp. 5300-5305 . View Complete Reference Online information Works that this work references Works that reference this work