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Kossovsky, AE (2014). Benford's Law: Theory, the General Law of Relative Quantities, and Forensic Fraud Detection Applications. World Scientific Publishing Company: Singapore.

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Amanda Bowman, A (2016). Contributions to the Testing of Benford's Law. Masters Thesis, McMaster University, Hamilton, Canada. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Anderson, KM, Dayaratna, K, Gonshorowski, D and Miller, SJ (2022). A New Benford Test for Clustered Data with Applications to American Elections. Stats 5(3), pp. 841–855. DOI:10.3390/stats5030049 . View Complete Reference Online information Works that this work references Works that reference this work
Arezzo, MF and Cerqueti, R (2023). A Benford’s Law view of inspections’ reasonability. Physica A: Statistical Mechanics and its Applications 632, Part 1, pp. 129294. DOI:10.1016/j.physa.2023.129294. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benford’s law. Journal of the American Statistical Association. DOI:10.1080/01621459.2021.1891927. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST. DOI:10.1007/s11749-023-00881-y. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerioli, A and Perrotta, D (2021). Forum on Benford’s law and statistical methods for the detection of frauds. Statistical Methods & Applications 30, pp. 767–778. DOI:10.1007/s10260-021-00588-0. View Complete Reference Online information Works that this work references Works that reference this work
Bastian, H, Frye, E, Gary, C, Houck, D, Schneider, M, Thomason, F and Werner, B (2021). Data Analytics to Enhance Election Transparency. Critique of MITRE Report MP210086, Appendix C. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Beiglou, PHB, Gibbs, C, Rivers, L, Adhikari, U and Mitchell, J (2017). Applicability of Benford’s Law to Compliance Assessment of Self-Reported Wastewater Treatment Plant Discharge Data. Journal of Environmental Assessment Policy and Management 19(04). DOI:10.1142/S146433321750017X. View Complete Reference Online information Works that this work references Works that reference this work
Burgos, A and Santos, A (2021). The Newcomb–Benford law: Scale invariance and a simple Markov process based on it (Previous title: The Newcomb–Benford law: Do physicists use more frequently the key 1 than the key 9?). Preprint arXiv:2101.12068 [physics.pop-ph]; last accessed August 8, 2022; Published Am. J. Phys. 89, pp. 851-861. View Complete Reference Online information Works that this work references Works that reference this work
Campos, L, Salvo, AE and Flores-Moya, A (2016). Natural taxonomic categories of angiosperms obey Benford's law, but artificial ones do not. Systematics and Biodiversity 14(5), pp. 431-440. ISSN/ISBN:1477-2000 (Print)/ 1. DOI:10.1080/14772000.2016.1181683. View Complete Reference Online information Works that this work references Works that reference this work
Capalbo, F, Galati, L, Lupi, C and Smarra, M (2022). The Impact of Elections on the Quality of Financial Statements in Municipally Owned Entities. University of Molise Economics and Statistics Discussion Paper n. 078/22. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Cerioli, A, Barabesi, L, Cerasa, A, Menegatti, M and Perrotta, D (2019). Newcomb-Benford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 106-115. DOI:10.1073/pnas.1806617115. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R and Lupi, C (2021). Some New Tests of Conformity with Benford's Law. Stats 4(3), pp. 745-761. DOI:10.3390/stats4030044. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R and Maggi, M (2021). Data validity and statistical conformity with Benford’s Law. Chaos, Solitons & Fractals 144, p. 110740 . DOI:10.1016/j.chaos.2021.110740. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R, Maggi, M and Riccioni, J (2022). Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. Annals of Operations Research. DOI:10.1007/s10479-022-04742-z. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Cerqueti, R and Provenzano, D (2023). Benford's Law for economic data reliability: The case of tourism flows in Sicily. Chaos, Solitons & Fractals 173, p. 113635. DOI:10.1016/j.chaos.2023.113635. View Complete Reference Online information Works that this work references Works that reference this work
Cuenca, AV (2023). La Ley de Benford, Del Primer Dígito Significativo. Trabajo Fin de Grado en Matemáticas, Universidad de Valladolid . SPA View Complete Reference Online information Works that this work references No Bibliography works reference this work
da Silva, AJ, Floquet, S, Santos, DOC and Lima, RF (2020). On the validation of the Newcomb-Benford Law and the Weibull distribution in neuromuscular transmission. Physica A 553, 1 September 2020, 124606. DOI:10.1016/j.physa.2020.124606. View Complete Reference Online information Works that this work references Works that reference this work
Dang, CT and Owens, T (2019). Does transparency come at the cost of charitable services? Evidence from investigating British charities. CREDIT Research Paper 19/02; published (2020) in Journal of Economic Behavior & Organization 172, pp. 314–343. View Complete Reference Online information Works that this work references Works that reference this work
Drew, JH, Evans, DL, Glen, AG and Leemis, LM (2017). Products of Random Variables. In:Computational Probability: Algorithms and Applications in the Mathematical Sciences, Springer International Publishing, pp. 73-86. ISSN/ISBN:978-3-319-43323-3. DOI:10.1007/978-3-319-43323-3. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Drew, JH, Evans, DL, Glen, AG and Leemis, LM (2017). Other Applications. In: Computational Probability. International Series in Operations Research & Management Science, vol 246. Springer, Cham, pp. 301-321. ISSN/ISBN:978-3-319-43323-3. DOI:10.1007/978-3-319-43323-3_15. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Eliazar, II (2017). Harmonic statistics. Annals of Physics, Volume 380, pp. 168-187. DOI:10.1016/j.aop.2017.03.016. View Complete Reference Online information Works that this work references Works that reference this work
Eliazar, II (2020). First Digits. In: Power Laws. Understanding Complex Systems. Springer, Cham, pp. 153-157. DOI:10.1007/978-3-030-33235-8_14. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Farhadi, N and Lahooti, H (2021). Are COVID-19 Data Reliable? A Quantitative Analysis of Pandemic Data from 182 Countries. COVID 1, pp. 137–152. DOI:10.3390/covid1010013. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2022). Forensic Analysis of COVID-19 Data from 198 Countries Two Years after the Pandemic Outbreak. COVID 2(4), pp. 472-484. DOI:10.3390/covid2040034. View Complete Reference Online information Works that this work references Works that reference this work
Friedman, E, Kolakaluri, R and Rege, M (2020). Benford’s Law Applied to Precinct Level Election Data. Issues in Information Systems 21(2), pp. 238-247. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Gorenc, M (2019). Benford's Law as a Useful Tool to Determine Fraud in Financial Statements. Management 14(1). DOI:10.26493/1854-4231.14.19-31. View Complete Reference Online information Works that this work references Works that reference this work
Hall, RC (2018). Why the Summation Test Results in a Benford, and not a Uniform Distribution, for Data that Conforms to a Log Normal Distribution. Preprint viXra.org > Number Theory > viXra:1809.0158; last accessed November 17, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Hindls, R and Hronová, S (2015). Benford’s Law and Possibilities for Its Use in Governmental Statistics. Statistika 95( 2), pp. 54-64. View Complete Reference Online information Works that this work references Works that reference this work
Hüllemann, S , Schüpfer, G and Mauch, J (2017). Application of Benford's law: a valuable tool for detecting scientific papers with fabricated data?. Der Anaesthesist vol. 66(10), pp. 795--802 . DOI:10.1007/s00101-017-0333-1. View Complete Reference Online information Works that this work references Works that reference this work
Ileanu, B-V, Ausloos, M, Herteliu, C and Cristescu, MP (2019). Intriguing behavior when testing the impact of quotation marks usage in Google search results. Quality & Quantity 53(5), pp. 2507-2519. DOI:10.1007/s11135-018-0771-0. View Complete Reference Online information Works that this work references Works that 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
Kafri, O (2023). Zipf’s Law, Benford’s Law, and Pareto Rule. Advances in Pure Mathematics 13(3), pp. 174-180. DOI:10.4236/apm.2023.133010. View Complete Reference Online information Works that this work references Works that reference this work
Kim, H (2019). Financial Statements Errors in Japanese Firms : Using a Benfordʼs Law. The Journal of Tokyo Keizai University: Business 302, pp. 19-42. JPN View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kossovsky, AE (2014). Arithmetical Tugs of War and Benford's Law. Preprint arXiv:1410.2174 [math.ST]; last accessed October 19, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Kossovsky, AE (2015). Random Consolidations and Fragmentations Cycles Lead to Benford' Law. Preprint arXiv:1505.05235 [math.ST]; last accessed October 19, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Kossovsky, AE (2016). Exponential Growth Series and Benford's Law. Preprint arXiv:1606.04425 [math.ST]; last accessed October 19, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Kossovsky, AE (2021). On the Mistaken Use of the Chi-Square Test in Benford’s Law. Stats 4(2), pp. 419–453. DOI:10.3390/stats4020027. View Complete Reference Online information Works that this work references Works that reference this work
Kossovsky, AE and Lawton, WM (2023). A Mathematical Analysis of Benford's Law and its Generalization. Preprint arXiv:2308.07773 [stat.ME]; last accessed August 24, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kossovsky, AE and Miller, SJ (2020). Report on Benford’s Law Analysis of 2020 Presidential Election Data. Preprint. View Complete Reference Online information Works that this work references Works that reference this work
Lacasa, L (2019). Newcomb–Benford law helps customs officers to detect fraud in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 11-13. DOI:10.1073/pnas.1819470116. View Complete Reference Online information Works that this work references Works that reference this work
Lemons, DS (2019). Thermodynamics of Benford's first digit law. American Journal of Physics 87 (10) pp. 787-790. DOI:10.1119/1.5116005. View Complete Reference Online information Works that this work references Works that reference this work
Lemons, DS, Lemons, N and Peter, W (2021). First Digit Oscillations. Stats 4(3), pp. 595-601. DOI:10.3390/stats4030035. View Complete Reference Online information Works that this work references Works that reference this work
Luo, P and Li, Y (2018). A new quantity for statistical analysis: "Scaling invariable Benford distance''. Preprint in: arXiv:1803.01117 [physics.data-an]; last accessed October 25, 2018. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Luty, P (2022). Tax Avoidance, Fraud Detection and Related Accounting Issues - Insights from the Visegrad Group Countries. Publishing House of Wroclaw University of Economics and Business, pp. 99-117. ISSN/ISBN:978-83-7695-970-2. DOI:10.15611/2022.971.9. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Luty, P and Costa, R (2022). Benford's Law in the Analysis of Inventories of Portuguese Companies. International Journal of Business Innovation 1(4), p. e30282. DOI:10.34624/ijbi.v1i4.30282. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mack, V (2016). The Fingerprints of Fraud: An In-depth Study of Election Forensics with Digit Tests. PhD Thesis, Universitat Konstanz. View Complete Reference Online information Works that this work references Works that reference this work
Makous, W (2024). Exponential Decay of Biblical Longevities. Perspectives on Science & Christian Faith 76(1), pp. 30-34. DOI:10.56315/pscf03-24makous. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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Pinilla, J, López-Valcárcel, BG, González-Martel, C and Peiro, S (2018). Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford’s Law. BMJ open,8(5), pp. 1-6. ISSN/ISBN:2044-6055. DOI:10.1136/bmjopen-2018-022079. View Complete Reference Online information Works that this work references Works that reference this work
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Santiwipanont, T, Sumetkijakan, S and Wiriyakraikul, T (2019). Benfordness of Chains of Truncated Beta Distributions via a Piecewise Constant Approximation. In: Kreinovich V., Sriboonchitta S. (eds) Structural Changes and their Econometric Modeling. TES 2019. Studies in Computational Intelligence, vol 808. Springer, Cham, pp. 342-351. DOI:10.1007/978-3-030-04263-9_26. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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