Winter, C, Schneider, M and Yannikos, Y (2011). Detecting Fraud Using Modified Benford Analysis. Advances in Digital Forensics VII, 7th IFIP WG 11.9 International Conference on Digital Forensics, Orlando, FL, USA, January 31 – February 2, 2011, Revised Selected Papers. Gilbert Peterson and Sujeet Shenoi (Editors).
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Anab, F, Khaliq, A and Younas, I (2021). A Statistical Analysis of Covid19 Data of Pakistan by Applying Benford’s Law. Journal of Applied Pharmacy 13, pp. 5560.





Joksimović, D, Knežević, G, Pavlović, V, Ljubić, M and Surovy, V (2017). Some Aspects of the Application of Benford’s Law in the Analysis of the Data Set Anomalies. In: Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling. New York: Nova Science Publishers, pp. 85–120. ISSN/ISBN:9781536105667.





Wei, A and Vellwock, AE (2020). Is COVID19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1.





Winter, C, Schneider, M and Yannikos, Y (2012). ModelBased Digit Analysis for Fraud Detection overcomes Limitations of Benford Analysis. Availability, Reliability and Security (ARES 2012), Seventh International Conference, August 20–24, 2012, Prague, Czech Republic.
IEEE CS volume E4775, pages 255–261.
IEEE Computer Society. ISSN/ISBN:9781467322447 . DOI:10.1109/ARES.2012.37.




