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Kreuzer, M, Jordan, D, Antkowiak, B, Drexler, B, Kochs, EF and Schneider, G (2014). Brain electrical activity obeys Benford's law. Anesth. Analg. 118(1), pp. 183-91.

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Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062. View Complete Reference Online information Works that this work references Works that reference this work
da Silva, AJ, Floquet, S, Santos, DOC and Lima, RF (2020). On the validation of Newcomb-Benford law and Weibull distribution in neuromuscular transmission. Preprint. View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Gauvrit, N, Houillon, J-C and Delahaye, J-P (2017). Generalized Benford’s Law as a Lie Detector. Advances in Cognitive Psychology 13(2), pp. 121-127. DOI:10.5709/acp-0212-x. View Complete Reference Online information Works that this work references Works that reference this work
Joksimović, D, Knežević, G, Pavlović, V, Ljubić, M and Surovy, V (2017). Some Aspects of the Application of Benford’s Law in the Analysis of the Data Set Anomalies. In: Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling. New York: Nova Science Publishers, pp. 85–120. ISSN/ISBN:978-1-53610-566-7. View Complete Reference Online information Works that this work references Works that reference this work
Morag, S and Salmon-Divon, M (2019). Characterizing Human Cell Types and Tissue Origin Using the Benford Law. Cells 8(9), p. 1004. DOI:10.3390/cells8091004. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Park, JH, Choi, CH and Cho, EH (2016). Preliminary Study to Detect Match-Fixing: Benford’s Law in Badminton Rally Data. Journal of Physical Education and Sports Management, 3(1), pp. 64-77. ISSN/ISBN:2373-2156. DOI:10.15640/jpesm.v3n1a5. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Schündeln, M (2018). Multiple Visits and Data Quality in Household Surveys. Oxford Bulletin of Economics and Statistics 80(2), pp. 380-405. DOI:10.1111/obes.12196. View Complete Reference Online information Works that this work references Works that reference this work
Tirunagari, S, Abasolo, D, Iorliam, A, Ho, ATS and Poh, N (2017). Using Benford’s Law to Detect Anomalies in Electroencephalogram: An Application to Detecting Alzheimer’s Disease. In: Proceedings of 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Manchester, 2017, pp. 1-6. DOI:10.1109/CIBCB.2017.8058547. View Complete Reference Online information Works that this work references Works that reference this work