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193 result(s) found for "M":

Ma'arif, MY, Jalal, AAA, Satar, NSM and Samah, MAA (2020). Detecting ERP Data Fraud Using the First Digits Formula of Benford’s Law . Sci.Int.(Lahore) 32(4),pp. 439-444. View Complete Reference Online information Works that this work references Works that reference this work
Ma, D (2011). Benford’s Law and US Census Data, Parts I and II. WordPress.com Blog. Posted 25 Nov. 2011. View Complete Reference Online information Works that this work references Works that reference this work
MacDonald, DK (2021). Using Benford’s Law to Detect Fraud. Posted on dustinkmacdonald.com blog May 2; last accessed May 18, 2021. View Complete Reference Online information Works that this work references Works that reference this work
MacDonald, J (2012). Where no math has gone before. Pinnacle, July, 2012, pp. 20-23. View Complete Reference Online information Works that this work references No Bibliography works reference this work
MacDougall, M (2014). Assessing the Integrity of Clinical Data: When is Statistical Evidence Too Good to be True?. Topoi 33(2), pp. 323–337. DOI:10.1007/s11245-013-9216-5. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Macías, ALO and Ogua, ST (2018). Encontrando datos anómalos en la tributación. Aplicación de la Ley de Benford en el Impuesto a la Renta en Ecuador [Finding anomalous data in taxation. Application of the Benford Law on Income Tax in Ecuador]. SaberEs 10(2), pp. 173-188. SPA View Complete Reference Online information Works that this work references Works that reference this work
Mack, V (2016). The Fingerprints of Fraud: An In-depth Study of Election Forensics with Digit Tests. PhD Thesis, Universitat Konstanz. View Complete Reference Online information Works that this work references Works that reference this work
Mack, V and Stoetzer, LF (2019). Election fraud, digit tests and how humans fabricate vote counts - An experimental approach. Electoral Studies 58, pp. 31-47 . DOI:10.1016/j.electstud.2018.12.002. View Complete Reference Online information Works that this work references Works that reference this work
Madahali, L and Hall, M (2020). Application of the Benford’s law to Social bots and Information Operations activities. International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), Dublin, Ireland, pp. 1-8. DOI:10.1109/CyberSA49311.2020.9139709. View Complete Reference Online information Works that this work references Works that reference this work
Mahasuar, K (2021). Lies, damned lies, and statistics: The uncertainty over COVID-19 numbers in India. Knowledge and Process Management, pp. 1– 8. DOI:10.1002/kpm.1685. View Complete Reference Online information Works that this work references Works that reference this work
Maher, M and Akers, M (2002). Using Benford's Law to Detect Fraud in the Insurance Industry. International Business & Economics Research Journal 1(7), 2002, pp. 1-11. View Complete Reference Online information Works that this work references Works that reference this work
Mahr, N (2023). Benford's Law | Process, Uses & Examples. study.com (membership required to access full content); last accessed 23 February 2024. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Mainusch, NM (2020). On Benford's law - Computing a Bayes factor with the Savage-Dickey method to quantify conformance of numerical data to Benford's law. Bachelor's Thesis, University of Osnabrueck, Institute of Cognitive Science, Germany. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Makous, W (2011). Biblical Longevities: Empirical Data or Fabricated Numbers?. Perspectives on Science and Christian Faith, Vol. 63, No. 2, pp. 117-130. View Complete Reference Online information Works that this work references Works that reference this work
Makous, W (2024). Exponential Decay of Biblical Longevities. Perspectives on Science & Christian Faith. Mar2024, Vol. 76 Issue 1, p30-34. 5p. DOI:10.56315/pscf03-24makous. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Makrushin, A, Kraetzer, C, Neubert, T and Dittmann, J (2018). Generalized Benford's Law for Blind Detection of Morphed Face Images. In: IH&MMSec '18 Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, pp. 49-54 . DOI:10.1145/3206004.3206018. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mamidipaka, P and Desai, S (2022). Do Pulsar and Fast Radio Burst dispersion measures obey Benford's law?. Preprint arXiv:2207.09696 [astro-ph.HE]; last accessedAugust 8, 2022. DOI:10.48550/arXiv.2207.09696 . View Complete Reference Online information Works that this work references Works that reference this work
Mamidipaka, P and Desai, S (2023). Do pulsar and Fast Radio Burst dispersion measures obey Benford's law?. Astroparticle Physics 144, p. 102761 . DOI:10.1016/j.astropartphys.2022.102761. View Complete Reference Online information Works that this work references Works that reference this work
Manack, C and Miller, SJ (2015). Leading digit laws on linear Lie groups. Research in Number Theory 1:22. DOI:10.1007/s40993-015-0024-4. View Complete Reference Online information Works that this work references Works that reference this work
Maney, K. (2000). Baffled by math? Wait 'til I tell you about Benford's Law. USA today, 18 October 2000. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Mangalagiri, J (2017). Stock Trading and Stock Returns: Understanding the Distributional Properties of the Numbers—The Evidence from India Nifty Fifty. Jindal Journal of Business Research 6(2), pp. 171-185. DOI:10.1177/2278682117727209. View Complete Reference Online information Works that this work references Works that reference this work
Mangalagiri, J, Jyothi, CSP and Ramya, P (2018). Benford’s Law and Stock Market - The Implications for Investors: The Evidence from India Nifty Fifty. Jindal Journal of Business Research 7(2), pp. 103–121 . DOI:10.1177/2278682118777029. View Complete Reference Online information Works that this work references Works that reference this work
Mangoua, MJ, Kouassi, KA, Douagui, GA, Savané, I and Biémi, J (2019). Application of Benford's Law to Hydrogeological Parameters: Case of the Baya Watershed (Eastern Côte d'Ivoire). Asian Journal of Geological Research 2(3), pp. 1-7. View Complete Reference Online information Works that this work references Works that reference this work
Manoochehrnia, P, Rachidi, F, Rubinstein, M, Schulz, W and Diefendorfer, G (2010). Benford’s Law and Its Application to Lightning Data. IEEE Transactions on Electromagnetic Compatibility 52(4), pp. 956-961. View Complete Reference Online information Works that this work references Works that reference this work
Manoochehrnia, P, Rachidi, F, Rubinstein, M, Diendorfer, G and Schulz, W (2009). Do lightning data obey the Benford's law?. Proceedings of X International Symposium on Lightning Protection (SIPDA), Curitiba, Brazil. View Complete Reference Online information Works that this work references Works that reference this work
Manoochehrnia, P, Rachidi, F, Rubinstein, M, Schultz, W and Diendorfer, G (2010). Benford’s law and lightning data. Proceedings of the 30th International Conference on Lightning Protection (ICLP), Cagliari, Italy, 13–17 September; pp. 1–3 . DOI:10.1109/ICLP.2010.7845921. View Complete Reference Online information Works that this work references Works that reference this work
Manrique-Hernández, EF, Fernández-Niño, JA and Idrovo, AJ (2017). Global performance of epidemiologic surveillance of Zika virus: rapid assessment of an ongoing epidemic. Public Health 143, pp. 14-16. DOI:10.1016/j.puhe.2016.10.023 . View Complete Reference Online information Works that this work references Works that reference this work
Mansilla, R (2006). Análisis de los resultados electorales a partir de la Ley de Benford. preprint UNAM. SPA View Complete Reference Online information Works that this work references Works that reference this work
Mansouri, E, Mostajabi, A, Schulz, W, Diendorfer, G, Rubinstein, M and Rachidi , F (2022). On the Use of Benford’s Law to Assess the Quality of the Data Provided by Lightning Locating Systems. Atmosphere 13(4), pp. 552. ISSN/ISBN:2073-4433. DOI:10.3390/atmos13040552. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mantone, PS (2013). Using Analytics to Detect Possible Fraud: Tools and Techniques. John Wiley & Sons; Chapter 7 "Benford's Law, and Yes - Even Statistics" p. 237. ISSN/ISBN:978-1118585627. View Complete Reference No online information available Works that this work references Works that reference this work
Marcel, M (2017). Benford_py: a Python Implementation of Benford's Law Tests. GitHub repository; last accessed October 8, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Marchand, C and Maahs, D (2021). Benford's Law and COVID-19 Data. CHANCE 34(2), pp. 31-38. DOI:10.1080/09332480.2021.1915031. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Mardia, KV (1972). The distribution of first significant digits. pp 92-93 in: Statistics of Directional Data, Academic Press. ISSN/ISBN:9780124711501. View Complete Reference Online information Works that this work references Works that reference this work
Margellou, AG and Pomonis, PJ (2020). Benford's law, Zipf's law and the pore properties in solids. Microporous and Mesoporous Materials 292, p. 109735. DOI:10.1016/j.micromeso.2019.109735. View Complete Reference Online information Works that this work references Works that reference this work
Mari, D, Latora, F and Milani, S (2022). The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection. Preprint arXiv:2210.02746 [cs.SD]; last accessed November 2, 2022. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Markova, D, Njoh, L and Lloyd, M (2006). Benford's Law and the Bible. Preprint; electronic copy of talk, Proceedings of the OK-AR Section of the MAA. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Martín, AB (2003). Sistematización del proceso de depuración de los datos en estudios con seguimientos. PhD Thesis, Universitat Autònoma de Barcelona, Spain. SPA View Complete Reference Online information Works that this work references No Bibliography works reference this work
Martin, J, Mayneris, F and Theophile, E (2020). The price of remoteness: Geography and local cost of living in Ethiopia. Preprint. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Martínez JW, Martínez JC, Rincón DA, Salazar, DA, Castrillón JD, Gómez MDP, Suárez OF, Vélez JP, Valencia ÁM, Gómez S, Rincón ÁM, Idrovo ÁJ, Moreno-Montoya J, Prieto-Alvarado FE, Hurtado-Ortiz A and (2020). Benchmarking of public health surveillance of COVID-19 in Colombia: First semester. Biomedica : Revista del Instituto Nacional de Salud 40(Supl. 2), pp. 198-204. SPA View Complete Reference Online information Works that this work references No Bibliography works reference this work
Martínez-Sánchez, F (2021). Tracking The Price of Almonds in Spain. Journal of Competition Law & Economics, nhab002. DOI:10.1093/joclec/nhab002. View Complete Reference Online information Works that this work references Works that reference this work
Massé, B (2021). Random walks on the circle and measure of irrationality. Research Report, Université du littoral côte d'Opale. View Complete Reference Online information Works that this work references Works that reference this work
Massé, B (2021). Random subsequences of αn with asymptotically independent successive terms. Research Report, Université du Littoral - Côte d'Opale. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Massé, B and Schneider, D (2011). A survey on weighted densities and their connection with the first digit phenomenon. Rocky Mountain Journal of Mathematics 41(5), 1395-1415. ISSN/ISBN:0035-7596. DOI:10.1216/RMJ-2011-41-5-1395. View Complete Reference Online information Works that this work references Works that reference this work
Massé, B and Schneider, D (2012). Random number sequences and the first digit phenomenon. Electronic Journal of Probability, Vol 17, Article 86, pp. 1-17 . DOI:10.1214/EJP.v17-1900. View Complete Reference Online information Works that this work references Works that reference this work
Massé, B and Schneider, D (2014). The mantissa distribution of the primorial numbers. Acta Arithmetica 163, pp. 45-58. ISSN/ISBN:0065-1036. DOI:10.4064/aa163-1-4. View Complete Reference Online information Works that this work references Works that reference this work
Massé, B and Schneider, D (2015). Fast growing sequences of numbers and the first digit phenomenon . International Journal of Number Theory 11:705, pp. 705--719. DOI:10.1142/S1793042115500384. View Complete Reference Online information Works that this work references Works that reference this work
Masters, AB (2020). Benford’s Law and Election Data. Blog posted on Medium, Nov 15. View Complete Reference Online information Works that this work references Works that reference this work
Mataković, IC (2019). The empirical analysis of financial reports of companies in Croatia: Benford distribution curve as a benchmark for first digits. Croatian Review of Economic, Business and Social Statistics (CREBSS) 5(2), pp. 90-100 . DOI:10.2478/crebss-2019-0014. View Complete Reference Online information Works that this work references Works that reference this work
Mataković, H (2021). Tourism Data in Croatia Assessed by Benford's Law. Journal of Public Administration, Finance and Law 19, pp. 166-184. DOI:10.47743/jopafl-2021-19-13. View Complete Reference Online information Works that this work references Works that reference this work
Máté, D, Sadaf, R, Tarnóczi, T and Fenyves, V (2017). Fraud Detection by Testing the Conformity to Benford’s Law in the Case of Wholesale Enterprises. Polish Journal Of Management Studies, 16(1), pp.115-126. DOI:10.17512/pjms.2017.16.1.10 . View Complete Reference Online information Works that this work references Works that reference this work
Matthews, R (1999). The Power of One. New Scientist 163, July 10, pp. 26-30. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Matthews, R (2000). Benford bend: Benford's Law reflects a natural pattern in numbers--if it doesn't hold, there could be something amiss. World Link, May/June, pp. 10-12. ISSN/ISBN:1016-359X. View Complete Reference No online information available No Bibliography works referenced by this work. Works that reference this work
Matula, VV and Kornerup, P (1980). Foundations of Finite Precision Rational Arithmetic. pp 85-111 in: Alefeld, G, Grigorieff, RD (eds.) Fundamentals of Numerical Computation (Computer-Oriented Numerical Analysis), Computing Supplementum 2, Springer, Wien-New York. View Complete Reference No online information available Works that this work references Works that reference this work
Matute, LIM and Ubilluz, MYZ (2010). Desarrollo de un sistema utilizando la ley de Benford para detectar posibles fraudes electorales en las elecciones convocadas en el Ecuador. Undergraduate thesis, Escuela Politécnica Nacional, Quito, Ecuador. SPA View Complete Reference Online information Works that this work references Works that reference this work
Maurus, S and Plant, C (2017). Let's See Your Digits: Anomalous-State Detection using Benford's Law. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2017, pp. 977–986. DOI:10.1145/3097983.3098101. View Complete Reference Online information Works that this work references Works that reference this work
Mayo, R (2022). Hidden Risk: Detecting Fraud in Chinese Banks’ Non-performing Loan Data. nternational Journal of Finance & Banking Studies (2147-4486), 11(1), pp. 98–106. DOI:10.20525/ijfbs.v11i1.1550. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Maza-Quiroga, R, Thurnhofer-Hemsi, K, Lopez-Rodrıguez, D and Lopez-Rubio, E (2021). Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford’s Law. In: de Bruijne M. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. MICCAI 2021. Lecture Notes in Computer Science, vol 12906. Springer, Cham.. DOI:10.1007/978-3-030-87231-1_33. 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
Mbona, I and Eloff, JHP (2021). Evaluating a Semi-Supervised Intrusion Detection Algorithm Through Benford's Law. The 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing; CSCE 2021 Book of Abstracts, p. 106. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Mbona, I and Eloff, JHP (2022). Feature selection using Benford’s law to support detection of malicious social media bots. Information Sciences 582, pp. 369-381. DOI:10.1016/j.ins.2021.09.038. View Complete Reference Online information Works that this work references Works that reference this work
Mbona, I and Eloff, JHP (2022). Detecting Zero-day intrusion attacks using semi-supervised machine learning approaches. IEEE Access. DOI:10.1109/ACCESS.2022.3187116. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mbona, I and Eloff, JHP (2023). Classifying social media bots as malicious or benign using semi-supervised machine learning. Journal of Cybersecurity 9(1), p.tyac015 . DOI:10.1093/cybsec/tyac015. View Complete Reference Online information Works that this work references No Bibliography works reference this work
McCarville, D (2020). Analyzing Network Traffic with Benford's Law. LinkedIn blog. View Complete Reference Online information Works that this work references No Bibliography works reference this work
McCarville, D (2021). A data transformation process for using Benford’s Law with bounded data. Preprint [version 1; peer review: awaiting peer review], Emerald Open Research 3(29). DOI:10.35241/emeraldopenres.14374.1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
McCarville, D (2021). Benford's Law. Software package posted on github.com; last accessed 14 Dec 2021. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
McCloskey, M, Harley, W and Sokol, SM (1991). Models of Arithmetic Fact retrieval - An Evaluation in Light of Findings from Normal and Brain-Damaged Subjects. Journal of Experimental Psychology - Learning Memory and Cognition 17(3), pp. 377-397. ISSN/ISBN:0278-7393. View Complete Reference Online information Works that this work references Works that reference this work
McConville, DJ (1995). Benford’s law traps check fraud perps. Corporate Cashflow, Vol. 16(9), September, pp. 12. View Complete Reference No online information available No Bibliography works referenced by this work. Works that reference this work
McDonald, BD and Goodman, CB (2020). The Truth about Honesty in the Nonprofit Sector. SocArXiv 48g5c, Center for Open Science. DOI:10.31219/osf.io/48g5c. View Complete Reference Online information Works that this work references No Bibliography works reference this work
McGinty, JC (2014). Accountants Increasingly Use Data Analysis to Catch Fraud. Wall Street Journal, Dec 5, 2014. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
McGinty, JC (2020). Can an Accounting Tool Detect Election Fraud?. Wall Street Journal, Dec 4, 2020. View Complete Reference Online information Works that this work references Works that reference this work
McGregor, G (2009). Long arm of Benford's 'law' helps CRA track tax cheats. Last retrieved from Canada.com on 24 April 2014. View Complete Reference No online information available No Bibliography works referenced by this work. Works that reference this work
McLaughlin, WI and Lundy, SA (1984). Digit functions of integer sequences. Fibonacci Quarterly 22(2), pp. 105-115. ISSN/ISBN:0015-0517. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2006). Detecting Attempted Election Theft: Vote Counts, Voting Machines and Benford’s Law. Paper prepared for the 2006 Annual Meeting of the Midwest Political Science Association, Chicago, IL. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2006). Election Forensics: The Second-digit Benford’s Law Test and Recent American Presidential Elections. pp 161-181 in: Alvarez, RM, Hall, TE and Hyde, SD (eds.), Election Fraud: Detecting and Deterring Electoral Manipulation. Brookings Press, Washington DC. ISSN/ISBN:9780815701606. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2006). Election Forensics: Vote Counts and Benford’s Law. Proceedings of the Summer Meeting of the Political Methodology Society, UC-Davis, July, pp. 20-22. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2006). Election Forensics: The Second-digit Benford’s Law Test and Recent American Presidential Elections. Proceedings of the Election Fraud Conference, Salt Lake City, Utah, September 29-30, 2006. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2007). Statistics for digits. 2007 Summer Meeting of the Political Methodology Society, Penn State University, University Park, PA. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2007). Election Forensics: Statistical Interventions in Election Controversies. Prepared for presentation at the 2007 Annual Meeting of the American Political Science Association, Chicago, August 30–Sept 2. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2007). Election Forensics: Statistics, Recounts and Fraud. Presented at the 2007 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 12–16. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2008). Election Forensics: Outlier and Digit Tests in America and Russia. Prepared for presentation at The American Electoral Process conference, Center for the Study of Democratic Politics, Princeton University, May 1-3, 2008. 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
Mebane, WR Jr (2009). Note on the presidential election in Iran, June 2009. updated notes on author's website. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2010). Fraud in the 2009 presidential election in Iran?. Chance 23(1), pp. 6-15. DOI:10.1080/09332480.2010.10739785. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2010). Election Fraud or Strategic Voting? Can Second-digit Tests Tell the Difference?. Prepared for Presentation at the 2010 Summer Meeting of the Political Methodology Society. University of Iowa. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2010). Memo on second-digit tests done on precinct counts for Democratic Senate primary in South Carolina, 2010. Technical Report, University of Michigan, Ann Arbor, MI, USA, June 12. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mebane, WR Jr (2011). Comment on “Benford's Law and the Detection of Election Fraud”. Political Analysis 19(3), pp. 269-272. DOI:10.1093/pan/mpr024. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2012). Second-digit Tests for Voters’ Election Strategies and Election Fraud. Prepared for presentation at the 2012 Annual Meeting of the Midwest Political Science Association, Chicago, April 12–15; last accessed Apr 11, 2019. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2013). Election Forensics: The Meanings of Precinct Vote Counts’ Second Digits. Prepared for presentation at the 2013 Summer Meeting of the Political Methodology Society, University of Virginia, July 18–20. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2013). Using Vote Counts’ Digits to Diagnose Strategies and Frauds: Russia. Prepared for presentation at the 2013 Annual Meeting of the American Political Science Asso- ciation, Chicago, August 29–September 1, 2013. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2015). Can Vote Counts’ Digits and Benford’s Law Diagnose Elections?. In: S.J. Miller (ed.) Benford's Law: Theory and Applications, Princeton University Press: Princeton, NJ, pp. 212-222. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Mebane, WR Jr (2020). Inappropriate Applications of Benford’s Law Regularities to Some Data from the 2020 Presidential Election in the United States. Unpublished manuscript, posted November 9, 2020; last accessed November 9, 2020. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Kalinin, K (2009). Electoral Falsification in Russia: Complex Diagnostics Selections 2003-2004, 2007-2008 [Russian] . Russian Electoral Review REO 2/09, pp. 57–70 . RUS View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Kalinin, K (2009). Comparative Election Fraud Detection. Presentation at APSA 2009 Toronto Meeting. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Kalinin, K (2010). Electoral Fraud in Russia: Vote Counts Analysis using Second-digit Mean Tests. Presentation at the 2010 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 22–25. View Complete Reference No online information available Works that this work references Works that reference this work
Mebane, WR Jr and Kent, T (2013). Second digit implications of voters’ strategies and mobilizations in the United States during the 2000s. Proceedings of the 2013 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 11–14. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Klaver, J (2015). Election Forensics: Strategies versus Election Frauds in Germany. Prepared for presentation at the 2015 Annual Conference of the European Political Science Association, Vienna, Austria, June 25–27. View Complete Reference Online information Works that this work references Works that reference this work
Medzihorsky, J (2015). Election Fraud: A Latent Class Framework for Digit-Based Tests. Political Analysis 23(4), pp. 506-517. DOI:10.1093/pan/mpv021. View Complete Reference Online information Works that this work references Works that reference this work
Meiss, J (2015). Review of “An Introduction to Benford's Law” by Berger and Hill. The Dynamical Systems Web. View Complete Reference Online information No Bibliography works referenced by this work. No Bibliography works reference this work
Melita, MD and Miraglia, JE (2021). On the applicability of Benford law to exoplanetary and asteroid data. New Astronomy, p. 101654. DOI:10.1016/j.newast.2021.101654. View Complete Reference Online information Works that this work references Works that reference this work
Mendez, PF, Furrer, R, Ford, R and Ordóñez, F (2008). Scaling laws as a tool of materials informatics. JOM Journal of the Minerals, Metals and Materials Society 60(3), pp. 60-66. ISSN/ISBN:1047-4838. DOI:10.1007/s11837-008-0036-9. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mendez, PF and Ordóñez, F (2005). Scaling Laws From Statistical Data and Dimensional Analysis. J. Appl. Mech. - Transactions of the ASME 72(5), pp. 648-657. ISSN/ISBN:0021-8936. DOI:10.1115/1.1943434. View Complete Reference Online information Works that this work references Works that reference this work
Meng, J, Wang, X and Zhang, R (2017). Research of Corrected Benford's Distribution and Its Statistical Simulation. Statistics & Information Forum 32(9), pp.9-16. CHI View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Merberg, A and Miller, SJ (2008). The Cramér-Rao Inequality. Course Notes for Math 162: Mathematical Statistics. View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Mercy, F-JT and Fisayo, A (2023). Mathematical Knowledge and Skills in E-Business Transactions and in Curbing Electronic Fraud . Saudi Journal of Humanities and Social Sciences. DOI:10.36348/sjhss.2023.v08i06.004. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Meyersson, E (2015). Digit Tests and the Peculiar Election Dynamics of Turkey’s November Elections. Online posting Nov. 4, 2015; last accessed Nov. 12, 2015. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mi, Z and Yang, X (2014). Benford’s Law: A New Paradigm of China’s Macroeconomic Statistical Data Quality Evaluation. Mathematics in Practice and Theory 44(24), pp.10-18. CHI View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
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