Cross Reference Up

Haynes, AH (2012). Detecting Fraud in Bankrupt Municipalities Using Benford's Law. Scripps Senior Theses. Paper 42, http://scholarship.claremont.edu/scripps_theses/42; last accessed November 12, 2014.

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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. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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:978-1118585627. View Complete Reference No online information available Works that this work references Works that reference this work
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:1434-6028. DOI:10.1140/epjb/e2014-50525-2. View Complete Reference Online information Works that this work references Works that reference this work
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/s11266-015-9629-4. View Complete Reference Online information Works that this work references Works that reference this work