Zverev, E and Nikiforov, A (2018). Raspredeleniye Benforda: vyyavleniye nestandartnykh elementov v bol'shikh sovokupnostyakh finansovoy informatsii [Benford distribution: identifying non-standard elements in large sets of financial information]. Vnutrenniy kontrol' v kreditnoy organizatsii 4(40), pp. 4–18 . RUS
This work is cited by the following items of the Benford Online Bibliography:
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Leonov, PY, Suyts, VP, Norkina, AN and Sushkov, VM (2022). Integrated application of Benford's Law tests to detect corporate fraud. Procedia Computer Science 213, pp. 332-337. ISSN/ISBN:1877-0509. DOI:https://doi.org/10.1016/j.procs.2022.11.075.
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Leonov, PY, Suyts, VP, Rychkov, VA, Ezhova, AA, Sushkov, VM and Kuznetsova, NV (2021). Possibility of Benford’s Law Application for Diagnosing Inaccuracy of Financial Statements. In: Klimov, V.V., Kelley, D.J. (eds) Biologically Inspired Cognitive Architectures 2021. BICA 2021. Studies in Computational Intelligence, vol 1032. Springer, Cham., pp. 243-248. ISSN/ISBN:978-3-030-96993-6. DOI:10.1007/978-3-030-96993-6_24.
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