Forum on Benford’s law and statistical methods for the detection of frauds
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s10260-021-00588-0.pdf
Reference58 articles.
1. Baesens B, Höppner S, Ortner I, Verdonck T (2021) robROSE: a robust approach for dealing with imbalanced data in fraud detection. Stat Methods Appl. https://doi.org/10.1007/s10260-021-00573-7
2. Barabesi L, Pratelli L (2020) On the generalized Benford law. Stat Probab Lett 160:1–283
3. Barabesi L, Cerasa A, Cerioli A, Perrotta D (2018) Goodness-of-fit testing for the Newcomb–Benford law with application to the detection of customs fraud. J Bus Econ Stat 36:346–358
4. Barabesi L, Cerasa A, Cerioli A, Perrotta D (2021) On characterizations and tests of Benford’s law. J Am Stat Assoc. https://doi.org/10.1080/01621459.2021.1891927
5. Benford F (1938) The law of anomalous numbers. Proc Am Philos Soc 78:551–572
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