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Said, T and Mohammed, K (2020)

Detection of anomaly in socio-economic databases, by Benford probability law

2020 IEEE 6th International Conference on Optimization and Applications (ICOA), Beni Mellal, Morocco, 2020, pp. 1-4.

ISSN/ISBN: Not available at this time. DOI: 10.1109/ICOA49421.2020.9094466



Abstract: We have applied Benford's Law to a variety of data collected from the official statistics and reports of three organisations: Bank Al Maghreb, Casablanca Stock Exchange, and Haut Commissariat aux plans. We use two statistics tests in order to check wether thoses data obey to Benford's Law or not.


Bibtex:
@INPROCEEDINGS{, author={Timjerdine {Said} and Kaicer {Mohammed}}, booktitle={2020 IEEE 6th International Conference on Optimization and Applications (ICOA)}, title={Detection of anomaly in socio-economic databases, by Benford probability law}, year={2020}, volume={}, number={}, pages={1--4}, }


Reference Type: Conference Paper

Subject Area(s): Economics