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Klimek, P, Jiménez, R, Hidalgo, M, Hinteregger, A and Thurner, S (2018). Forensic analysis of Turkish elections in 2017–2018. PLoS ONE 13(10), pp. e0204975.

This work cites the following items of the Benford Online Bibliography:


Beber, B and Scacco, A (2012). What the Numbers Say: A Digit-Based Test for Election Fraud. Political Analysis 20 (2), pp. 211-234. DOI:10.1093/pan/mps003. View Complete Reference Online information Works that this work references Works that reference this work
Cantu, F and Saiegh, SM (2011). Fraudulent Democracy? An Analysis of Argentina’s Infamous Decade Using Supervised Machine Learning. Political Analysis 19 (4), pp. 409-433. DOI:10.1093/pan/mpr033. View Complete Reference Online information Works that this work references Works that reference this work
Klimek, P, Yegorov, Y, Hanel, R and Thurner, S (2012). Statistical detection of systematic election irregularities. Proceedings of the National Academy of Science October 109(41), pp. 16469-16473. DOI:10.1073/pnas.1210722109. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2008). Election forensics: The second-digit Benford’s law test and recent American presidential elections. In Election Fraud: Detecting and Deterring Electoral Manipulation, edited by R. Alvarez, T. Hall and S. Hyde. Washington, DC: Brookings Press, pp. 162–181 . ISSN/ISBN:978-0-8157-0138-5. View Complete Reference No online information available No Bibliography works referenced by this work. Works that reference this work
Pericchi, LR and Torres, DA (2011). Quick anomaly detection by the Newcomb-Benford law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela. Statistical Science 26(4), pp. 502-16. DOI:10.1214/09-STS296. View Complete Reference Online information Works that this work references Works that reference this work