Carslaw, CAPN (1988). Anomalies in Income Numbers: Evidence of Goal Oriented Behavior. The Accounting Review 63(2), pp. 321327.





Deckert, J, Myagkov, M and Ordeshook, PC (2010). The Irrelevance of Benford's Law for Detecting Fraud in Elections. CALTECH working paper 9.





Diekmann, A (2007). Not the First Digit! Using Benford's Law to Detect Fraudulent Scientific Data. Journal of Applied Statistics 34(3), pp. 321329. ISSN/ISBN:02664763. DOI:10.1080/02664760601004940.





GonzalezGarcia, J and Pastor, G (2009). Benford’s Law and Macroeconomic Data Quality. International Monetary Fund Working Paper WP/09/10, Statistics Department, January 2009.





Hill, TP (1995). A Statistical Derivation of the SignificantDigit Law. Statistical Science 10(4), pp. 354363. ISSN/ISBN:08834237.





Maher, M and Akers, M (2002). Using Benford's Law to Detect Fraud in the Insurance Industry. International Business & Economics Research Journal 1(7), 2002, pp. 111.





Morrow, J (2010). Benford's Law, Families of Distributions and a Test Basis. Eprint formerly published on www.johnmorrow.info; last accessed Mar 10, 2021. .





Nigrini, MJ (1993). Can Benford's law be used in forensic accounting?. The Balance Sheet (June), pp. 78.





Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons: Hoboken, New Jersey; (2nd edition published in 2020, isbn 9781119585763). ISSN/ISBN:9780470890462.





Nye, J and Moul, C (2007). The Political Economy of Numbers: On the Application of Benford's Law to International Macroeconomic Statistics. The BE Journal of Macroeconomics 7(1), pp. 114. DOI:10.2202/19351690.1449.





Rauch, B, Brähler, G, Engel, S and Göttsche, M (2011). Fact and Fiction in EUGovernmental Economic Data. German Economic Review 12(3), pp. 243255. DOI:10.1111/j.14680475.2011.00542.x.




