This work is cited by the following items of the Benford Online Bibliography:
| Aybars, A and Ataunal, L (2016). An application of Benford’s law to fundamental accounting figures reported by Borsa Istanbul (BIST) companies. Journal of Economics, Finance and Accounting 3(3), pp. 234-243. DOI:10.17261/Pressacademia.2016321991. |
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| Baryła, M (2017). The First Significant Digit Distribution Analysis of Financial Data of Selected Companies from Media Sector Listed on the Warsaw Stock Exchange. Res. Pap. Wrocław Univ. Econ. 469, pp. 11–20. DOI:10.15611/pn.2017.469.01. POL |
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| Das, RC, Mishra, CS and Rajib, P (2017). Detection of Anomalies in Accounting Data Using Benford’s Law: Evidence from India. Journal of Social Science Studies 4(1), pp. 123-139. DOI:10.5296/jsss.v4i1.9873. |
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| Guliyev, H (2021). COVID-19 Data Published by Turkey is Fake or Not?. Preprint on ResearchSquare.com. Published in Systematic Reviews in Pharmacy 13(1), pp. 24-29 (2022).. |
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| Hashem, MM, Naby, MAA and Hafez, MES (2024). Using the anomalous numbers model (Newcom-Benford model) to verify the accuracy of published data for the fire insurance branch of insurance companies in the Egyptian market. Al-Durr Magazine 34(3), December. |
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