Lin, F and Wu, S-F (2015). Applying Digital Analysis to Investigate the Relationship between Corporate Governance and Earnings Management: An Empirical Analysis of Publicly Listed Companies in Taiwan. Contemporary Management Research 11(3), pp. 209-222.
This work cites the following items of the Benford Online Bibliography:
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572.
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Carslaw, CAPN (1988). Anomalies in Income Numbers: Evidence of Goal Oriented Behavior. The Accounting Review 63(2), pp. 321-327.
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Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34.
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Herrmann, D and Thomas, WB (2005). Rounding of Analyst Forecasts. Accounting Review 80(3), pp. 805-823. DOI:10.2308/accr.2005.80.3.805.
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Lin, F, Guan, L and Fang, W (2011). Heaping In Reported Earnings: Evidence from Monthly Financial Reports of Taiwanese Firms. Emerging Markets Finance & Trade / January–February 2011, Vol. 47, No. 2, pp. 62–73. ISSN/ISBN:1540-496X. DOI:10.2753/REE1540-496X470205.
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Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094.
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Rodriguez, RJ (2004). Reducing False Alarms in the Detection of Human Influence on Data. Journal of Accounting, Auditing & Finance 19(2), pp. 141-158. DOI:10.1177/0148558X0401900202.
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Thomas, JK (1989). Unusual Patterns in Reported Earnings. Accounting Review 64(4), 773-787. ISSN/ISBN:0001-4826.
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