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Friedman, E, Kolakaluri, R and Rege, M (2020). Benfordís Law Applied to Precinct Level Election Data. Issues in Information Systems 21(2), pp. 238-247.

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


Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Bushee, B (2019). Benford's Law 3.6. Retrieved from Coursera: https://www.coursera.org/lecture/accounting-analytics/benfords-law-3-6-oPSSY; last accessed October 12, 2020. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Collins, JC (2017). Using Excel and Benfordís Law to detect fraud. Journal of Accountancy Feature/Technology Workshop, April 1. View Complete Reference Online information Works that this work references Works that reference this work
Deckert, J, Myagkov, M and Ordeshook, PC (2011). Benford's Law and the Detection of Election Fraud. Political Analysis 19(3), pp. 245-268. DOI:10.1093/pan/mpr014. View Complete Reference Online information Works that this work references Works that reference this work
Kossovsky, AE (2014). Benford's Law: Theory, the General Law of Relative Quantities, and Forensic Fraud Detection Applications. World Scientific Publishing Company: Singapore. ISSN/ISBN:978-981-4583-68-8. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. View Complete Reference Online information Works that this work references Works that reference this work