Cross Reference Up
Fernández-Gracia, J and Lacasa, L (2018). Bipartisanship Breakdown, Functional Networks, and Forensic Analysis in Spanish 2015 and 2016 National Elections. Complexity 2018, Article ID 9684749.
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| Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benford’s law. Journal of the American Statistical Association 117(540), pp. 1887-1903. DOI:10.1080/01621459.2021.1891927. |  |
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| 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. | |
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| 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. | |
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| Crisan, D and Gota, DI (2023). The First-Digit Law application in digital forensics in crystal forgery research. Proceedings of 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, pp. 1-7. DOI:10.1109/ICECCME57830.2023.10253354. | |
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| Jiménez-Sánchez, O (2020). Propuesta metodológica para utilizar la ley de Benford en la investigación forense en resultados electorales [Methodological proposal to use Benford's law in forensic investigation of electoral results]. Tesis que para obtener el título de Licenciado en Actuaría, Universidad Nacional Autónoma de México. SPA | |
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| Lacasa, L and Fernández-Gracia, J (2019). Election Forensics: Quantitative methods for electoral fraud detection. Forensic Science International 294, pp. e19-e22. DOI:10.1016/j.forsciint.2018.11.010. | |
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