Mebane, WR Jr (2011). Comment on “Benford's Law and the Detection of Election Fraud”. Political Analysis 19(3), pp. 269272.
This work cites the following items of the Benford Online Bibliography:
Berger, A (2005). Multidimensional dynamical systems and Benford's law. Discrete and Continuous Dynamical Systems 13(1), pp. 219237. ISSN/ISBN:10780947. DOI:10.3934/dcds.2005.13.219.





Deckert, J, Myagkov, M and Ordeshook, PC (2011). Benford's Law and the Detection of Election Fraud. Political Analysis 19(3), pp. 245268. DOI:10.1093/pan/mpr014.





Grendar, M, Judge, G and Schechter, L (2007). An empirical nonparametric likelihood family of databased Benfordlike distributions. Physica A: Statistical Mechanics and its Applications 380, pp. 429438. ISSN/ISBN:03784371. DOI:10.1016/j.physa.2007.02.062.





Mebane, WR Jr (2006). Election Forensics: The Seconddigit Benford’s Law Test and Recent American Presidential Elections. pp 161181 in: Alvarez, RM, Hall, TE and Hyde, SD (eds.), Election Fraud: Detecting and Deterring Electoral Manipulation. Brookings Press, Washington DC. ISSN/ISBN:9780815701606.





Mebane, WR Jr (2006). Election Forensics: Vote Counts and Benford’s Law. Proceedings of the Summer Meeting of the Political Methodology Society, UCDavis, July, pp. 2022.





Mebane, WR Jr (2010). Fraud in the 2009 presidential election in Iran?. Chance 23(1), pp. 615. DOI:10.1080/09332480.2010.10739785.





Rodriguez, RJ (2004). First Significant Digit Patterns from Mixtures of Uniform Distributions. American Statistician 58(1), pp. 6471. ISSN/ISBN:00031305. DOI:10.1198/0003130042782.




