Pericchi, L and Torres, DA (2011). Quick anomaly detection by the NewcombBenford law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela. Statistical Science 26(4), pp. 50216.
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.
Arshadi, L and Jahangir, AH (2014). Benford's law behavior of Internet traffic. Journal of Network and Computer Applications, Volume 40, April 2014, pp. 194–205. ISSN/ISBN:10848045. DOI:10.1016/j.jnca.2013.09.007.





Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2018). Goodnessoffit testing for the NewcombBenford law with application to the detection of customs fraud. Journal of Business & Economic Statistics 36(2), pp. 346358. DOI:10.1080/07350015.2016.1172014.





Cerioli, A, Barabesi, L, Cerasa, A, Menegatti, M and Perrotta, D (2019). NewcombBenford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 106115. DOI:10.1073/pnas.1806617115.





Fonseca, PMT da (2016). Digit analysis using Benford's Law : a bayesian approach. Masters Thesis, ISEG  Instituto Superior de Economia e Gestão, Lisbon School of Economics & Management, Portugal.





Lacasa, L (2019). Newcomb–Benford law helps customs officers to detect fraud in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 1113. DOI:10.1073/pnas.1819470116.





Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:9780691147611.




