Cross Reference Up

Anderson, KM, Dayaratna, K, Gonshorowski, D and Miller, SJ (2022). A New Benford Test for Clustered Data with Applications to American Elections. Stats 5(3), pp. 841–855.

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.

Dayaratna, KD (2024). Beyond the Ballot: A Survey of Statistical Methods for Uncovering Election Anomalies. The Heritage Foundation Issue Brief No. 5362. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kobiela, J and Dzierwa, P (2024). Application of Benford’s Law to the Identification of Non-authentic Digital Images. Proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, pp. 115-129 . DOI:10.1007/978-3-031-78049-3_12. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Le, L and Mantelaers, E (2024). Benford’s Law and Beyond: A framework for auditors. Maandblad voor Accountancy en Bedrijfseconomie 98(7), pp. 427–438. DOI:10.5117/mab.98.134061. View Complete Reference Online information Works that this work references No Bibliography works reference this work