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This work is cited by the following items of the Benford Online Bibliography:
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Blondeau da Silva, S (2019). BeyondBenford: An R Package to Determine Which of Benford’s or BDS’s Distributions is the Most Relevant. Preprint hal02310013; also posted on arXiv:1910.06104 [physics.socph]; last accessed October 21, 2019.





Frunza, MC (2016). Benford's Law. Chapter 2K in: Solving Modern Crime in Financial Markets: Analytics and Case Studies, Academic Press, New York, pp. 233245. DOI:10.1016/B9780128044940.000176.





Pavlović, V, Knežević, G, Joksimović, M and Joksimović, D (2019). Fraud Detection in Financial Statements Applying Benford's Law with Monte Carlo Simulation. Acta oeconomica 69(2), pp.217239. DOI:10.1556/032.2019.69.2.4.





Roy, PT (2021). NewcombBenford's law as a fast ersatz of discrepancy measures. Preprint arXiv:2103.08705 [stat.ME]; last accessed March 29, 2021.





Sadaf, R (2017). Advanced Statistical Techniques For Testing Benford'S Law. Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pp. 229238.




