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Scholes, CA (2023). Utilising forensic tools to assist in chemical engineering capstone assessment grading. Education for Chemical Engineers 45, pp. 61-67 .

This work cites the following items of the Benford Online Bibliography:

Bolton, RJ and Hand, DJ (2002). Statistical Fraud Detection: a review. Statistical Science 17(3), pp. 235-249. View Complete Reference Online information Works that this work references Works that reference this work
Cerioli, A, Barabesi, L, Cerasa, A, Menegatti, M and Perrotta, D (2019). Newcomb-Benford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 106-115. DOI:10.1073/pnas.1806617115. View Complete Reference Online information Works that this work references Works that reference this work
Dutta, A, Choudhury, MR and De, AK (2022). A Unified Approach to Fraudulent Detection. International Journal of Applied Engineering Research 17(2), pp. 110-124. ISSN/ISBN:0973-4562. View Complete Reference Online information Works that this work references Works that reference this work
Kössler, W, Lenz, H-J and Wang, XD (2021). Is the Benford Law Useful for Data Quality Assessment?. In: Knoth, S., Schmid, W. (eds) Frontiers in Statistical Quality Control 13. ISQC 2019, Springer, Cham, pp. 391-406. ISSN/ISBN:978-3-030-67856-2. DOI:10.1007/978-3-030-67856-2_22. View Complete Reference Online information Works that this work references Works that reference this work
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Scholes, CA (2023). Applying the significant-digit law to simplify grading of chemical engineering students design projects. Australasian Journal of Engineering Education. DOI:10.1080/22054952.2023.2247292. View Complete Reference Online information Works that this work references Works that reference this work
Tödter, K-H (2009). Benford's Law as an Indicator of Fraud in Economics. German Economic Review 10(3), 339-351. DOI:10.1111/j.1468-0475.2009.00475.x. View Complete Reference Online information Works that this work references Works that reference this work
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