This work is cited by the following items of the Benford Online Bibliography:
Auffhammer, M and Carson, RT (2007). Forecasting the Path of China’s CO2 Emissions: Offsetting Kyoto - And Then Some. Department of Agricultural & Resource Economics, UCB CUDARE Working Papers no. 971 (University of California, Berkeley). | ||||
Auffhammer, M and Carson, RT (2008). Forecasting the path of China's CO2 emissions using province-level information. J. Environ. Econ. Manage. 55(3), pp. 229-247. ISSN/ISBN:0095-0696. DOI:10.1016/j.jeem.2007.10.002. | ||||
Badal-Valero, E, Alvarez-Jareño, JA and Pavía, JM (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. Forensic Science International 282, pp. 24-34. DOI:10.1016/j.forsciint.2017.11.008. | ||||
Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. | ||||
Beiglou, PHB, Gibbs, C, Rivers, L, Adhikari, U and Mitchell, J (2017). Applicability of Benford’s Law to Compliance Assessment of Self-Reported Wastewater Treatment Plant Discharge Data. Journal of Environmental Assessment Policy and Management 19(04). DOI:10.1142/S146433321750017X. | ||||
Bradley, JR and Farnsworth, DL (2009). What is Benford's Law?. Teaching Statistics 31(1), pp. 2-6. DOI:10.1111/j.1467-9639.2009.00347.x. | ||||
Bradley, JR and Farnsworth, DL (2009). Beispiele und Schüleraktivitäten zum BENFORD-Gesetz. Stochastik in der Schule (SiS) 29(3), pp. 28-32 . ISSN/ISBN:1614-0443. GER | ||||
Branets, S (2019). Detecting money laundering with Benford’s law and machine learning . Masters Thesis, University of Tartu. | ||||
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. | ||||
Cerqueti, R and Provenzano, D (2023). Benford's Law for economic data reliability: The case of tourism flows in Sicily. Chaos, Solitons & Fractals 173, p. 113635. DOI:10.1016/j.chaos.2023.113635. | ||||
Cerri, J (2018). A fish rots from the head down: how to use the leading digits of ecological data to detect their falsification. Preprint, bioRxiv p. 368951. DOI:10.1101/368951. | ||||
Ciaponi, F and Mandanici, F (2014). Using Digital Frequencies To Detect Anomalies in Receivables and Payables: An Analysis of the Italian Universities. Journal of Economic and Social Development 2(1), pp. 86-108. | ||||
Cole, MA, Maddison, DJ and Zhang, L (2020). Testing the emission reduction claims of CDM projects using the Benford's Law. Climatic Change 160 (3), pp. 407–426. DOI:10.1007/s10584-019-02593-5. | ||||
Coman, D, Horga, M, Danila, A and Coman, M (2018). Using Benford’s Law in the Analysis of Socio-Economic Data. Journal of Science & Arts 42(1), pp. 167-174. ISSN/ISBN:1844 – 9581. | ||||
Grendar, M, Judge, G and Schechter, L (2007). An empirical non-parametric likelihood family of data-based Benford-like distributions. Physica A: Statistical Mechanics and its Applications 380, pp. 429-438. ISSN/ISBN:0378-4371. DOI:10.1016/j.physa.2007.02.062. | ||||
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. | ||||
Jäntschi, L, Bolboaca, S, Stoenoiu, C, Iancu, M, Marta, MM and Pică, EM, Ştefu, M, Sestraş, AF, Duda, MM, Sestraş, RE, Ţigan, S, Abrudan, I, and Bălan, MC (2009). Distribution Fitting 4. Benford test on a sample of observed genotypes number from running of a genetic algorithm . Bulletin UASVM Agriculture 66(1), pp. 82-88. | ||||
Judge, G and Schechter, L (2009). Detecting problems in survey data using Benford’s law. J. Human Resources 44, pp. 1-24. DOI:10.3368/jhr.44.1.1. | ||||
Kienle, S (2015). What Benford Can Tell Us About Cover Pools – An Empirical Analysis. International Business & Economic Research Journal 14(6), pp. 829-834. DOI:10.19030/iber.v14i6.9489. | ||||
Le, T and Lobo, GJ (2022). Audit Quality Inputs and Financial Statement Conformity to Benford’s Law. Journal of Accounting, Auditing & Finance 37(3), pp. 586–602 . DOI:10.1177/0148558X20930467. | ||||
Lee, K-B, Han, S and Jeong, Y (2020). COVID-19, flattening the curve, and Benford’s law. Physica A: Statistical Mechanics and its Applications 559, 125090. DOI:10.1016/j.physa.2020.125090. | ||||
Long, MA, Stretesky, PB, Berry, KJ, Johnston, JE and Lynch, MJ (2023). Applying Benford's Law for Assessing the Validity of Social Science Data. Cambridge University Press. ISSN/ISBN:1009463683, 97810094. | ||||
Lusk, EJ and Halperin, M (2014). Test of Proportions Screening for the Newcomb-Benford Screen in the Audit Context: A Likelihood Triaging Protocol. Journal of Accounting and Finance Research 3(4), pp. 166-180. DOI:10.5430/afr.v3n4p166. | ||||
Malvar, S and Meneghini, JR (2022). Machine learning approaches for localized lockdown during COVID-19: a case study analysis. Preprint arXiv:2201.00715 [cs.LG]; last accessed January 9, 2022. | ||||
Montenegro, MALO (2006). Policing Pollution Control in the Philippines: Issues and Prospects. Research Proposal. | ||||
Morrow, J (2010). Benford's Law, Families of Distributions and a Test Basis. E-print formerly published on www.johnmorrow.info; last accessed Mar 10, 2021. . | ||||
Morrow, J (2014). Benford’s Law, Families of Distributions and a Test Basis. Center for Economic Performance Discussion Paper No 1291. | ||||
Scorse, J (2007). Does being a “top 10” worst polluter affect facility environmental releases? Evidence from the U.S. Toxic Release Inventory. Monterey Institute of International Studies Working Paper. | ||||
Singh, K and Best, P (2020). Implementing Benford’s law in continuous monitoring applications. Journal of Accounting and Management Information Systems 2, pp. 379-404. | ||||
Tsagbey, S, de Carvalho, M and Page, GL (2017). All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing . The American Statistician, 71, pp. 231--235. DOI:10.1080/00031305.2017.1311282. | ||||
Us, D (2021). Benford's Law: An Empirical Analysis of Reported Covid-19 Cases and Institutional Structures Around the Globe . Undergraduate Thesis, Università commerciale Luigi Bocconi, Milan. DOI:10.13140/RG.2.2.28839.88488. |