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Shi, J, Ausloos, M and Zhu, T (2018). Benford's law is the first significant digit and distribution distances for testing the reliability of financial reports in developing countries. Physica A: Statistical Mechanics and its Applications 492(1), pp. 878-888.

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Bannier, C, Ewelt-Knauer, C, Lips, J and Winker, P (2020). Benfordís Law and Its Application to Detecting Financial Fraud and Manipulation. Ch. 18 in: Corruption and Fraud in Financial Markets: Malpractice, Misconduct and Manipulation, C. Alexander and D. Cumming (Eds.), John Wiley & Sons: Chichester, U.K., pp. 473-504. ISSN/ISBN:978-1-119-42177-1. View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Bannier, C, Ewelt-Knauer, C, Winker, P and Lips, J (2019). Benfordís law and its application to detecting financial fraud and manipulation. Chapter 5 of Econometric Modelling of Energy & Financial Markets, Doctoral Thesis of Johannes Lips, Justus-Liebig University GieŖen . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Branets, S (2019). Detecting money laundering with Benfordís law and machine learning . Masters Thesis, University of Tartu. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Jones, WA (2019). A Benford Analysis of National Collegiate Athletic Association Division I Finance Data. Journal of Sports Economics. DOI:10.1177/1527002519887430. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kıvraklar, K and Demirci, M (2019). Benford Yasasıínın Mali Denetim Alanında Kullanımı ‹zerine Bir Uygulama [An Application On The Use Of Benford Law In The Field Of Financial Inspection]. Muhasebe ve Vergi Uygulamaları Dergisi 12(2), pp. 289-316. DOI:10.29067/muvu.340793. TUR View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kaiser, M (2019). Benfordís Law As An Indicator Of Survey ReliabilityóCan We Trust Our Data?. Journal of Economic Surveys Vol. 00, No. 0, pp. 1Ė17. DOI:10.1111/joes.12338. View Complete Reference Online information Works that this work references Works that reference this work
Mataković, IC (2019). The empirical analysis of financial reports of companies in Croatia: Benford distribution curve as a benchmark for first digits. Croatian Review of Economic, Business and Social Statistics (CREBSS) 5(2), pp. 90-100 . DOI:10.2478/crebss-2019-0014. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Omerzu, N and Kolar, I (2019). Do the Financial Statements of Listed Companies on the Ljubljana Stock Exchange Pass the Benfordís Law Test?. International Business Research, Canadian Center of Science and Education 12(1), pp. 54-64, January. DOI:10.5539/ibr.v12n1p54. View Complete Reference Online information Works that this work references Works that reference this work
Pavlović, V, Kneěević, G, Joksimović, M and Joksimović, D (2019). Fraud Detection in Financial Statements Applying Benford's Law with Monte Carlo Simulation. Acta oeconomica 69(2), pp.217-239. DOI:10.1556/032.2019.69.2.4. View Complete Reference Online information Works that this work references Works that reference this work
Shi, L-F, Yan, B, Pan, J-S and Sun, X-H (2019). Generalized Benfordís Distribution for Data Defined on Irregular Grid. In: Genetic and Evolutionary Computing, Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, pp.383--391. DOI:10.1007/978-981-13-5841-8_40. View Complete Reference Online information Works that this work references No Bibliography works reference this work