Cross Reference Down

Koesters, N, McMenemy, A and Bélanger, Y (2020). Simulating Epidemics with a SIRD Model and Testing with Benford’s Law. Preprint.

This work cites the following items of the Benford Online Bibliography:

Banks, DG (2000). Get M.A.D. with the Numbers! Moving Benford's Law from Art to Science. Fraud Magazine, September/October 2000. View Complete Reference Online information Works that this work references Works that reference this work
Cho, WKT and Gaines, BJ (2007). Breaking the (Benford) law: Statistical fraud detection in campaign finance. American Statistician 61(3), pp. 218-223. ISSN/ISBN:0003-1305. DOI:10.1198/000313007X223496. View Complete Reference Online information Works that this work references Works that reference this work
Cinelli, C, Lins, R, Stachelek, J and Gorecki, J (2020). The Benford Analysis (benford.analysis) package . Posted on GitHub Repository; last accessed November 17, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Coeurjolly, J-F (2020). Digit analysis for Covid-19 reported data . Preprint arXiv:2005.05009 [stat.AP]; last accessed May 17, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Collins, JC (2017). Using Excel and Benford’s Law to detect fraud. Journal of Accountancy Feature/Technology Workshop, April 1. View Complete Reference Online information Works that this work references Works that reference this work
Deckert, J, Myagkov, M and Ordeshook, PC (2010). The Irrelevance of Benford's Law for Detecting Fraud in Elections. CALTECH working paper 9. View Complete Reference Online information Works that this work references Works that reference this work
Diekmann, A and Jann, B (2010). Benford’s Law and Fraud Detection: Facts and Legends. German Economic Review 11(3), pp. 397–401. DOI:10.1111/j.1468-0475.2010.00510.x. View Complete Reference Online information Works that this work references Works that reference this work
Emerging Technology from the Arxiv (2015). How Benford’s Law Reveals Suspicious Activity on Twitter. Posted on the MIT Technology Review April 21; last accessed November 17, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Fewster, RM (2009). A Simple Explanation of Benford's Law. American Statistician 63(1), pp. 26-32. DOI:10.1198/tast.2009.0005. View Complete Reference Online information Works that this work references Works that reference this work
Gómez-Camponovo M, Moreno, J, Idrovo, ÁJ, Páez, M and Achkar, M (2016). Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law. Biomédica 36, pp. 583-92. DOI:10.7705/biomedica.v36i4.2731. View Complete Reference Online information Works that this work references Works that reference this work
Goodman, WM (2016). The promises and pitfalls of Benford's law. Significance 13(3) pp. 38-41. DOI:10.1111/j.1740-9713.2016.00919.x. View Complete Reference Online information Works that this work references Works that reference this work
Hall, RC (2018). Why the Summation Test Results in a Benford, and not a Uniform Distribution, for Data that Conforms to a Log Normal Distribution. Preprint viXra.org > Number Theory > viXra:1809.0158; last accessed November 17, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Idrovo, AJ (2009). Benford's Law to evaluate the detection and reporting of cases during the A(H1N1) influenza outbreak. Rapid Response to: "The economic impact of pandemic influenza", BMJ 2009;339:b4888. View Complete Reference Online information Works that this work references Works that reference this work
Idrovo, AJ, Bojórquez-Chapela, I, Fernández-Niño, JA and Moreno-Montoya, J (2011). Performance of public health surveillance systems during the influenza A(H1N1) pandemic in the Americas: testing a new method based on Benford's Law. Epidemiol. Infect. 139(12), pp. 1827-34. ISSN/ISBN:1469-4409. DOI:10.1017/S095026881100015X. View Complete Reference Online information Works that this work references Works that reference this work
Idrovo, AJ and Manrique-Hernández, EF (2020). Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports. Asia Pacific Journal of Public Health, vol. 32(4), pp. 165–167. DOI:10.1177/1010539520927265. View Complete Reference Online information Works that this work references Works that reference this work
Jamain, A (2001). Benford’s Law. Master Thesis. Imperial College of London and ENSIMAG. View Complete Reference Online information Works that this work references Works that reference this work
Joenssen, DW (2013). A New Test for Benford’s Distribution. In: Abstract-Proceedings of the 3rd Joint Statistical Meeting DAGStat, March 18-22, 2013; Freiburg, Germany. View Complete Reference No online information available No Bibliography works referenced by this work. Works that reference this work
Judge, G and Schechter, L (2009). Detecting problems in survey data using Benford’s law. J. Human Resources 44, pp. 1-24. DOI:10.3368/jhr.44.1.1. View Complete Reference Online information Works that this work references Works that reference this work
Koch, C and Okamura, K (2020). Benford's Law and COVID-19 Reporting. Posted on SSRN April 28, 2020; last accessed November 17, 2020. Published in Econ Lett 2020;196(109973) . View Complete Reference Online information Works that this work references Works that reference this work
Lee, K-B, Han, S and Jeong, Y (2020). COVID-19, flattening the curve, and Benford’s law. Physica A: Statistical Mechanics and its Applications 559, 125090. DOI:10.1016/j.physa.2020.125090. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (1999). I’ve got your number. Journal of Accountancy 187(5), pp. 79-83. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ and Miller, SJ (2009). Data Diagnostics Using Second-Order Tests of Benford's Law. Auditing: A Journal of Practice & Theory 28(2), pp. 305-324. DOI:10.2308/aud.2009.28.2.305 . View Complete Reference Online information Works that this work references Works that reference this work
Peng, Y and Nagata, MH (2020). Statistical analysis of the Chinese COVID-19 data with Benford's Law and clustering. Posted on LAMFO blog, Universidad de Brazilia on April 21, 2020; last accessed November 17, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Sambridge, M and Jackson, A (2020). National COVID numbers — Benford’s law looks for errors. Nature 581(7809), p. 384. DOI:10.1038/d41586-020-01565-5. View Complete Reference Online information Works that this work references Works that reference this work
Smith, SW (1997). Explaining Benford's Law. Chapter 34 in: The Scientist and Engineer's Guide to Digital Signal Processing. California Technical Publishing: San Diego, CA. Republished in softcover by Newnes, 2002. ISSN/ISBN:0-9660176-3-3. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Wei, A and Vellwock, AE (2020). Is COVID-19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1. View Complete Reference Online information Works that this work references Works that reference this work