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McGinty, JC (2020). Can an Accounting Tool Detect Election Fraud?. Wall Street Journal, Dec 4, 2020.

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
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
McGinty, JC (2014). Accountants Increasingly Use Data Analysis to Catch Fraud. Wall Street Journal, Dec 5, 2014. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Mebane, WR Jr (2020). Inappropriate Applications of Benford’s Law Regularities to Some Data from the 2020 Presidential Election in the United States. Unpublished manuscript, posted November 9, 2020; last accessed November 9, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons: Hoboken, New Jersey; (2nd edition published in 2020, isbn 978-1-119-58576-3). ISSN/ISBN:978-0-470-89046-2. View Complete Reference Online information Works that this work references Works that reference this work