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Azevedo, CdS, Gonçalves, RF, Gava, VL and Spinola, MdM (2021). A Benford’s Law based methodology for fraud detection in social welfare programs: Bolsa Familia analysis. Physica A 567, p. 125626.

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Agyemang, EF, Mensah, JA and Nyarko, E (2023). How dependable is World Continental COVID-19 data? Disclosure of Inconsistencies in Daily Reportage Confirmed Cases, Recovered and Deaths During First Wave. Preprint – submitted to Heliyon. DOI:10.2139/ssrn.4516032. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Azevedo, CdS, Gonçalves, RF, Gava, VL and Spinola, MdM (2021). A Benford’s Law based method for fraud detection using R Library. MethodsX 2021. DOI:10.1016/j.mex.2021.101575. View Complete Reference No online information available Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Fallico, D (2023). Searching Applications of Benford’s Law to Investigate Beam Jitter. Presentation for Teacher Research Associate (TRAC) Program at Fermilab. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Giannakis, N and Burlac, L (2021). Benford’s Law: Analysis of the trustworthiness of COVID-19 reporting in the context of different political regimes. Bachelor’s Degree Project in Mathematics, Division of Mathematics and Physics Mälardalen University, Sweden. View Complete Reference Online information Works that this work references Works that reference this work
Hanci, F (2022). Application of Benford’s law in agricultural production statistics. Journal of the National Science Foundation of Sri Lanka 50 (2), pp. 387-393. DOI:10.4038/jnsfsr.v50i2.10429. View Complete Reference Online information Works that this work references Works that reference this work
Maza-Quiroga, R, Thurnhofer-Hemsi, K, López-Rodríguez, D and López-Rubio, E (2023). Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit . Axioms 12, pp. 1117 . DOI:10.3390/axioms12121117. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pinheiro, MF (2024). Newcomb-Benford Law in public procurement contracts. Master Thesis, NOVA Information Management School, Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pinto, SO and Sobreiro, VA (2022). Literature review: Anomaly detection approaches on digital business financial systems. Digital Business 2(2), pp. 100038. ISSN/ISBN:2666-9544. DOI:10.1016/j.digbus.2022.100038. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Sinaga, ES and Sudharma, NI (2024). Benford’s law analysis to evaluate the quality data of COVID-19 epidemiological surveillance in Indonesia. International Journal of Public Health Science (IJPHS) vol. 13 (1), pp. 7-13. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Whyman, G (2021). Origin, Alternative Expressions of Newcomb-Benford Law and Deviations of Digit Frequencies. Applied Mathematics 12, pp. 578-586. ISSN/ISBN:2152-7385. DOI:10.4236/am.2021.127041. View Complete Reference Online information Works that this work references Works that reference this work