Miller, SJ and Nigrini, MJ (2008). Order Statistics and Benford's Law. International Journal of Mathematics and Mathematical Sciences, Art. ID 382948, 19 pp..
This work is cited by the following items of the Benford Online Bibliography:
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Becker, T, GreavesTunnell, A, Miller, SJ, Ronan, R and Strauch, FW (2011). Benford's Law and Continuous Dependent Random Variables. Preprint, Math arXiv:1111.0568.





Berger, A and Hill, TP (2011). A basic theory of Benford's Law . Probability Surveys 8, 1126 (2011) .





Berger, A and Siegmund, S (2007). On the distribution of mantissae in nonautonomous difference equations. Journal of Difference Equations and Applications 13(89), 829845. ISSN:10236198.





Dümbgen, L and Leuenberger, C (2008). Explicit Bounds for the Approximation Error in Benford’s Law. Electronic Communications in Probability 13, 99112. ISSN:1083589X.





Formann, AK (2010). The NewcombBenford Law in Its Relation to Some Common Distributions. PLoS ONE 5(5): e10541. doi:10.1371/journal.pone.0010541.





Jasak, Z (2010). Benfordov zakon i reinforcement učenje (Benford's Law and reinforcment learning)
. MSc Thesis, University of Tuzla, Bosnia.





Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons, Hoboken, New Jersey. ISSN:9780470890462.





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





Nigrini, MJ and Miller, SJ (2009). Data Diagnostics Using SecondOrder Tests of Benford's Law. Auditing: A Journal of Practice & Theory 28(2), 305324.




