Blondeau Da Silva, S (2019). Benford or Not Benford: A Systematic But Not Always WellFounded Use of an Elegant Law in Experimental Fields. Communications in Mathematics and Statistics, pp. 135.
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.
Blondeau da Silva, S (2019). BeyondBenford: An R Package to Determine Which of Benford’s or BDS’s Distributions is the Most Relevant. Preprint hal02310013; also posted on arXiv:1910.06104 [physics.socph]; last accessed October 21, 2019.





Blondeau Da Silva, S (2020). Limits of Benford’s Law in Experimental Field. International Journal of Applied Mathematics 33(4), pp. 685695. DOI:10.12732/ijam.v33i4.12.





Blondeau Da Silva, S (2020). BeyondBenford: Compare the Goodness of Fit of Benford's and Blondeau Da Silva's Digit Distributions to a Given Dataset. R package version 1.4.





Blondeau Da Silva, S (2021). BeyondBenford R Package to compare Benford's and BDS's Distributions. Computer Science Journal of Moldova 29(2), p. 241256.





Blondeau Da Silva, S (2022). An Alternative to the Oversimplifying Benford’s Law in Experimental Fields. Sankhya B. DOI:10.1007/s13571022002870.





Ergin, E and Erturan, IE (2020). Is Benford’s Law Effective in Fraud Detection for Expense Cycle? . Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 42(2), pp. 316–326. DOI:10.14780.muiibd.854444.





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. 90100
. DOI:10.2478/crebss20190014.




