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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.
Ausloos, M, Cerqueti, R and Mir, TA (2017). Data science for assessing possible tax income manipulation: The case of Italy. Chaos, Solitons and Fractals 104, pp. 238–256. DOI:10.1016/j.chaos.2017.08.012.





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.





Mantone, PS (2013). Using Analytics to Detect Possible Fraud: Tools and Techniques. John Wiley & Sons; Chapter 7 "Benford's Law, and Yes  Even Statistics" p. 237. ISSN/ISBN:9781118585627.





Mir, TA, Ausloos, M and Cerqueti, R (2014). Benford’s law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions. Eur. Phys. J. B (2014) 87: 261. ISSN/ISBN:14346028. DOI:10.1140/epjb/e2014505252.





Van Caneghem, T (2016). NPO Financial Statement Quality: An Empirical Analysis Based on Benford’s Law. International Journal of Voluntary and Nonprofit Organizations 27(6), pp. 2685–2708. DOI:10.1007/s1126601596294.




