Tabish, SZS (2025). Detecting Collusion in Traditional Contracts. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction 17(4).
This work cites the following items of the Benford Online Bibliography:
| Diekmann, A (2007). Not the First Digit! Using Benford's Law to Detect Fraudulent Scientific Data. Journal of Applied Statistics 34(3), pp. 321-329. ISSN/ISBN:0266-4763. DOI:10.1080/02664760601004940.
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| Erfani, A, Zhang, K and Cui, Q (2021). TAB Bid Irregularity: Data-Driven Model and Its Application. Journal of Management in Engineering 37(5), p. 04021055. DOI:10.1061/(ASCE)ME.1943-5479.0000958.
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| Lee, K-B, Han, S and Jeong, Y (2020). COVID-19, flattening the curve, and Benford’s law. Physica A: Statistical Mechanics and its Applications 559, 125090. DOI:10.1016/j.physa.2020.125090.
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| Lowe, R (2000). Benford's Law and fraud detection. Chartered Accountants Journal of New Zealand 79(10), pp. 32-36. ISSN/ISBN:1172-9929.
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| Maher, M and Akers, M (2002). Using Benford's Law to Detect Fraud in the Insurance Industry. International Business & Economics Research Journal 1(7), 2002, pp. 1-11.
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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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| 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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| York, D (2000). Auditing Technique - Benford’s law. Accountancy 126(1283), 126.
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