Cross Reference Up

Nigrini, MJ (2015). Detecting Fraud and Errors Using Benford’s Law. In: S.J. Miller (ed.) Benford's Law: Theory and Applications, Princeton University Press: Princeton, NJ, pp. 191-211.

This work is cited by the following items of the Benford Online Bibliography:

Note that this list may be incomplete, and is currently being updated. Please check again at a later date.

Adam, A and Tsarsitalidou, S (2022). Data misreporting during the COVID19 crisis: The role of political institutions. Economics Letters 213, p. 110348. DOI:10.1016/j.econlet.2022.110348. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Burns, BD (2020). Do people fit to Benford’s law, or do they have a Benford bias?. Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society, pp. 1729-1735. View Complete Reference Online information Works that this work references Works that reference this work
Cabarle, C (2019). Predicting the Risk of Fraud in Equity Crowdfunding Offers and Assessing the Wisdom of the Crowd. PhD Thesis, Temple University, ProQuest Dissertations Publishing, 2019. 13863507. View Complete Reference Online information Works that this work references No Bibliography works 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