Silva, AdeA and Gouvêa, MA (2023). Study on the effect of sample size on type I error, in the first, second and first-two digits excessmad tests. International Journal of Accounting Information Systems 48, p. 100599.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
| Cano-Rodríguez, M (2025). How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP). Preprint arXiv:2506.09915 [econ.EM]; last accessed August 27, 2025. DOI:10.48550/arXiv.2506.09915.
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| Cano-Rodríguez, M, Núñez-Nickel, M and Licerán-Gutiérrez, A (2025). Divergence from Benford’s law fails to measure financial statement accuracy. International Journal of Accounting Information Systems 56, pp. 100745. DOI:10.1016/j.accinf.2025.100745.
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| Domínguez- Bustos, AR, Cabrera-Castro, R, Ramos, ML, Abaunza, P and Báez, JC (2024). Using Benford's Law to Detect Possible Biases in Reported Catches of Tropical Tuna From the Indian Ocean. Fisheries Management and Ecology, p. e12749. DOI:10.1111/fme.12749.
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