Shahana, T, Lavanya, V and Bhat, AR (2023). State of the art in financial statement fraud detection: A systematic review. Technological Forecasting and Social Change 192, p. 122527
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This work cites the following items of the Benford Online Bibliography:
Bolton, RJ and Hand, DJ (2002). Statistical Fraud Detection: a review. Statistical Science 17(3), pp. 235-249.
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Nigrini, MJ (1999). I’ve got your number. Journal of Accountancy 187(5), pp. 79-83.
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Nigrini, MJ and Mittermaier, LJ (1997). The use of Benford's Law as an aid in analytical procedures. Auditing - A Journal of Practice & Theory 16(2), 52-67. ISSN/ISBN:0278-0380.
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Pupokusumo, AW, Handoko, BL, Willy, Ricky and Hendra, S (2022). Benford’s Law as a Tool in Detecting Financial Statement Fraud. Journal of Theoretical and Applied Information Technology 100(14), pp. 5300-5305
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Rad, M, Amiri, A, Ranjbar, MH and Salari, H (2021). Predictability of financial statements fraud-risk using Benford’s Law. Cogent Economics & Finance 9(1), p. 1889756 . DOI:10.1080/23322039.2021.1889756.
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Saville, A (2006). Using Benford's law to detect data error and fraud: an examination of companies listed on the Johannesburg Stock Exchange. South African Journal of Economic and Management Sciences 9(3), 341-354. ISSN/ISBN:1015-8812.
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