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Berger, A and Hill, TP (2011). A basic theory of Benford's Law . Probability Surveys 8, pp. 1126. DOI:10.1214/11PS175.





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





Del Acebo, E and Sbert, M (2005). Benford's Law for Natural and Synthetic Images. Proc. of the First Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, L. Neumann, M. Sbert, B. Gooch, and W. Purgathofer, Eds., Girona, Spain, May 2005, pp. 169–176. ISSN/ISBN:18160859. DOI:10.2312/COMPAESTH/COMPAESTH05/169176.





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.14680475.2010.00510.x.





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Fu, D, Shi, YQ and Su, W (2007). A generalized Benford’s law for JPEG coefficients and its applications in image forensics. Proceedings of SPIE, Volume 6505, Security, Steganography and Watermarking of Multimedia Contents IX, San Jose, California, January 28  February 1, 2007, pp. 65051L65051L11. DOI:10.1117/12.704723.





Hamadeh, N (2004). Wireless Security and Traffic Modeling Using Benford's Law. Master’s Thesis, University of New Mexico, Albuquerque, NM, 2004 (99 pgs).





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





Hill, TP (1995). BaseInvariance Implies Benford's Law. Proceedings of the American Mathematical Society 123(3), pp. 887895. ISSN/ISBN:00029939. DOI:10.2307/2160815.





Irmay, S (1997). The relationship between Zipf's law and the distribution of first digits. Journal of Applied Statistics 24(4), pp. 383393. ISSN/ISBN:02664763. DOI:10.1080/02664769723594.





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Li, B, Shi, YQ and Huang, J (2008). Detecting doubly compressed JPEG images by using mode based first digit features. Proceedings of 2008 IEEE 10th Workshop on Multimedia Signal Processing, pp. 730–735. DOI:10.1109/MMSP.2008.4665171.





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Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:9781118152850. DOI:10.1002/9781119203094.





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