Cross Reference Up

Berger, A and Hill, TP (2020). The mathematics of Benford’s law: a primer. Statistical Methods & Applications 30, pp. 779-795.

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.

Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969. View Complete Reference Online information Works that this work references Works that reference this work
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Preprint arXiv:2104.07962 [q-fin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Awad, MM (2022). Evaluation of COVID-19 Reported Statistical Data Using Cooperative Convolutional Neural Network Model (CCNN). COVID 2(5), pp. 674–690. DOI:10.3390/covid2050051. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Barabesi, L, Cerasa, A, Cerioli, A and Perotta, D (2021). A combined test of the Benford Hypothesis With Anti-fraud Applications. Proceedings of 13th Scientific Meeting of the Classification and Data Analysis Group, Florence, September 9-11. STAMPA, pp. 256-259. DOI:10.36253/978-88-5518-340-6. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benford’s law. Journal of the American Statistical Association 117(540), pp. 1887-1903. DOI:10.1080/01621459.2021.1891927. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST. DOI:10.1007/s11749-023-00881-y. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerioli, A and Perrotta, D (2021). Forum on Benford’s law and statistical methods for the detection of frauds. Statistical Methods & Applications 30, pp. 767–778. DOI:10.1007/s10260-021-00588-0. View Complete Reference Online information Works that this work references Works that reference this work
Benedito-Nunes, AM, Gamper, J, Chapman, SC, Friel, M and Gjerloev, JW (2023). Newcomb-Benford Law characterization of solar wind magnetic field and geomagnetic indices. Posted on Authorea; last accessed April 29, 2023. DOI:10.22541/essoar.168121593.35845953/v1. View Complete Reference Online information Works that this work references Works that reference this work
Benedito-Nunes, AM, Gamper, J, Chapman, SC, Friel, M and Gjerloev, JW (2023). Newcomb-Benford Law as a generic flag for changes in the derivation of long-term solar terrestrial physics timeseries. RAS Techniques and Instruments, pp. rzad041. DOI:10.1093/rasti/rzad041. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Bosnjak, M, Dahm, S, Kuhnert, R, Weihrauch, D, Rosario, AS, Hurraß, J, Schmich, P and Wieler, LH (2024). Potential COVID-19 test fraud detection: Findings from a pilot study comparing conventional and statistical approaches. Journal of Health Monitoring 9(2), pp. e12100. DOI:10.25646/12100. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Burgos, A and Santos, A (2021). The Newcomb–Benford law: Scale invariance and a simple Markov process based on it (Previous title: The Newcomb–Benford law: Do physicists use more frequently the key 1 than the key 9?). Preprint arXiv:2101.12068 [physics.pop-ph]; last accessed August 8, 2022; Published Am. J. Phys. 89, pp. 851-861. View Complete Reference Online information Works that this work references Works that reference this work
Cangiotti, N and Sensi, M (2022). Benford’s Law: A Number-Theoretical Perspective . Palestine Journal of Mathematics 11(3), pp. 379–385. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Cerqueti, R and Maggi, M (2021). Data validity and statistical conformity with Benford’s Law. Chaos, Solitons & Fractals 144, p. 110740 . DOI:10.1016/j.chaos.2021.110740. View Complete Reference Online information Works that this work references Works that reference this work
Chi, D (2024). The Influence of Statistical Information on Number Estimation Under Uncertainty: Why Do People Present Benford Bias?. PhD Thesis, School of Psychology, Faculty of Science, University of Sydney. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Covelli, A (2024). Modelli stocastici per la legge di Benford [Stochastic models for the law of Benford]. Undergraduate Thesis, University of Padua. ITA View Complete Reference Online information Works that this work references No Bibliography works reference this work
de la Rubia, JM (2024). Exposición Sencilla y Ejemplificada de la Ley de Newcomb-Benford para Psicólogos [Simple and Exemplified Exposition of the Newcomb-Benford Law for Psychologists]. Psicumex 14. DOI:10.36793/psicumex.v14i1.648. SPA View Complete Reference Online information Works that this work references No Bibliography works reference this work
Dutta, A, Voumik, LC, Kumarasankaralingam, L, Rahaman, A and Zimon, G (2023). The Silicon Valley Bank Failure: Application of Benford’s Law to Spot Abnormalities and Risks. Risks 11(7), p. 120. DOI:10.3390/risks11070120. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Filho, TMR, Mendes, JFF, Lucio, ML and Moret, MA (2022). Reliability of COVID-19 data and government policies. Preprint arXiv:2208.11226 [physics.soc-ph]; last accessed August 31, 2022. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Hill, TP (2020). A Widespread Error in the Use of Benford's Law to Detect Election and Other Fraud. Preprint arXiv:2011.13015 [math.PR]; posted November 25, 2020. Last accessed November 30, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Huber, H (2023). Explanations of Benford’s Law. Undergraduate research paper, William and Mary. View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Hulme, PE, Ahmed, DA, Haubrock, PJ, Kaiser, BA, Kourantidou, M, Leroy, B and McDermott, SM (2023). Widespread imprecision in estimates of the economic costs of invasive alien species worldwide. Science of the Total Environment, pp. 167997. DOI:10.1016/j.scitotenv.2023.167997. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mucko, P and Adamczyk, A (2023). Does the bankrupt cheat? Impact of accounting manipulations on the effectiveness of a bankruptcy prediction. PLoS ONE 18(1), e0280384. ISSN/ISBN:1932-6203. DOI:10.1371/journal.pone.0280384. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Odysseas, K, Aikaterini-Danai, K, Elisavet, K, Eirini, K, Dimitris, L and Chrysa, M (2022). Using Benford’s law as an epidemiological tool for COVID-19 pandemic data analysis in Greece. Journal of Mathematics and Statistical Science 8(10), pp. 51–8. View Complete Reference Online information Works that this work references Works that reference this work
Pain, J-C and Croset, P (2023). Checking the reliability of opacity databases. Preprint arXiv:2304.02469 [physics.atom-ph]; last accessed April 19, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Parker, MC and Jeynes, C (2023). A Maximum Entropy Resolution to the Wine/Water Paradox. Posted on Preprints.org 2023061551; last access June 28. 2023. DOI:10.20944/preprints202306.1551.v1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Rives, J (2024). The Code Underneath. Preprint posted on Preprints.org. DOI:10.20944/preprints202411.0594.v1. 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
Sorour, MA, Marey, YA, Halim, ITA and Kasem, MM (2024). Statistical Investigation of Scientific Journals Impact Factors in Relation to Benford' s Law. Proceedings of 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, pp. 521-524. DOI:10.1109/NILES63360.2024.10753145. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Torres-Zúñiga, V (2024). Hoja de cálculo de la ley de Newcomb-Benford con datos científicos, ChatGPT, censo y COVID-19 en México. Preprint del Manuscrito, incluido en el libro: Argumentos y usos tecnopedagógicos de la inteligencia artificial SOMECE, pp. 370-385 . ISSN/ISBN:978-607-59406-3-2. SPA View Complete Reference Online information Works that this work references No Bibliography works reference this work