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This work is cited by the following items of the Benford Online Bibliography:
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Bannier, C, EweltKnauer, C, Lips, J and Winker, P (2020). Benford’s Law and Its Application to Detecting Financial Fraud and Manipulation. Ch. 18 in: Corruption and Fraud in Financial Markets: Malpractice, Misconduct and Manipulation, C. Alexander and D. Cumming (Eds.), John Wiley & Sons: Chichester, U.K., pp. 473504. ISSN/ISBN:9781119421771.





Bannier, C, EweltKnauer, C, Winker, P and Lips, J (2019). Benford’s law and its application to detecting financial fraud and manipulation. Chapter 5 of Econometric Modelling of Energy & Financial Markets, Doctoral Thesis of Johannes Lips, JustusLiebig University Gießen .





Cai, Z, Faust, M, Hildebrand, AJ, Li, J and Zhang, Y (2019). Leading digits of Mersenne numbers. Experimental Mathematics, to appear. DOI:10.1080/10586458.2018.1551162.





Chenavier, N and Schneider, D (2018). On the discrepancy of powers of random variables. Statistics & Probability Letters 134, pp. 514. DOI:10.1016/j.spl.2017.10.006.





Coeurjolly, JF (2020). Digit analysis for Covid19 reported data . Preprint arXiv:2005.05009 [stat.AP]; last accessed May 17, 2020.





Lanham, SW (2019). Analyzing Big Data with Benford’s Law: A Lesson for the Classroom. American Journal of Business Education 12(2), pp. 3342. DOI:10.19030/ajbe.v12i2.10285.




