Goodman, WM (2013). Reality Checks for a Distributional Assumption: The Case of “Benford’s Law”. JSM Proceedings. Alexandria, VA: American Statistical Association (2013), pp. 27892803.
(Also published on the Statistical Literacy website, at URL: http://www.statlit.org/pdf/2013GoodmanASA.pdf)
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This work is cited by the following items of the Benford Online Bibliography:
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Agyemang, EF, Mensah, JA and Nyarko, E (2023). How dependable is World Continental COVID19 data? Disclosure of Inconsistencies in Daily Reportage Confirmed Cases, Recovered and Deaths During First Wave. Preprint – submitted to Heliyon. DOI:10.2139/ssrn.4516032.





Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062.





Cerasa, A (2022). Testing for Benford’s Law in very small samples: Simulation study and a new test proposal. PLoS ONE 17(7), pp. e0271969. DOI:10.1371/journal.pone.0271969.





Zenkov, AV (2017). A Method of Text Attribution Based on the Statistics of Numerals. Journal of Quantitative Linguistics, pp. 256270; published online: 20 Sep 2017. ISSN/ISBN:09296174 (Print), 1. DOI:10.1080/09296174.2017.1371915.




