Vogel, J (2012). Die Güte von Anpassungstests auf Benfordverteilung [The goodness of fit tests on the Benford distribution] . in: Bankhofer, U./Nissen, V./Stelzer, D./Straßburger, S. (Hrsg.), Ilmenauer Beiträge zur Wirt- schaftsinformatik, Arbeitsbericht Nr. 2012-01, Technische Universität Ilmenau. GER
This work cites the following items of the Benford Online Bibliography:
| Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572.
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| Berger, A and Hill, TP (2011). A basic theory of Benford's Law . Probability Surveys 8, pp. 1-126. DOI:10.1214/11-PS175.
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| 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.
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| Giles, DE (2006). The Exact Asymptotic Distribution Function of Watson's UN2 for Testing Goodness-of-Fit with Circular Discrete Data. University of Victoria, Econometrics Working Paper EWP0607. ISSN/ISBN:1485-6441.
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| Leemis, LM, Schmeiser, BW and Evans, DL (2000). Survival Distributions Satisfying Benford's Law. American Statistician 54(4), pp. 236-241. ISSN/ISBN:0003-1305. DOI:10.2307/2685773.
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| Morrow, J (2010). Benford's Law, Families of Distributions and a Test Basis. E-print formerly published on www.johnmorrow.info; last accessed Mar 10, 2021. .
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| Newcomb, S (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics 4(1), pp. 39-40. ISSN/ISBN:0002-9327. DOI:10.2307/2369148.
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| Rauch, B, Brähler, G, Engel, S and Göttsche, M (2011). Fact and Fiction in EU-Governmental Economic Data. German Economic Review 12(3), pp. 243-255. DOI:10.1111/j.1468-0475.2011.00542.x.
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