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Mataković, H (2021). Tourism Data in Croatia Assessed by Benford's Law. Journal of Public Administration, Finance and Law 19, pp. 166-184.

This work cites the following items of the Benford Online Bibliography:

Amiram, D, Bozanic, Z and Rouen, E (2015). Financial statement errors: evidence from the distributional properties of financial statement numbers. Review of Accounting Studies 20(4), pp. 1540–1593. DOI:10.1007/s11142-015-9333-z. View Complete Reference Online information Works that this work references Works that reference this work
Asllani, A and Naco, M (2014). Using Benford’s Law for Fraud Detection in Accounting Practices. Journal of Social Science Studies 2(1), pp. 129-143. DOI:10.5296/jsss.v2i1.6395. View Complete Reference Online information Works that this work references Works that reference this work
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Clippe, P and Ausloos, M (2012). Benford's law and Theil transform of financial data. Physica A: Statistical Mechanics and its Applications 391(24), pp. 6556–6567. View Complete Reference Online information Works that this work references Works that reference this work
Corazza, M, Ellero, A and Zorzi, A (2010). Checking financial markets via Benford's law: the S&P 500 case. In: Corazza, M and Pizzi, C (Eds.): Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, pp. 93-102. DOI:10.1007/978-88-470-1481-7_10. View Complete Reference Online information Works that this work references Works that reference this work
de Vocht, F and Kromhout, H (2013). The use of Benford's law for evaluation of quality of occupational hygiene data. Ann Occup Hyg. 57(3), pp. 296-304. DOI:10.1093/annhyg/mes067. View Complete Reference Online information Works that this work references Works that reference this work
Diekmann, A and Jann, B (2010). Benford’s Law and Fraud Detection: Facts and Legends. German Economic Review 11(3), pp. 397–401. DOI:10.1111/j.1468-0475.2010.00510.x. View Complete Reference Online information Works that this work references Works that reference this work
Docampo, S, del Mar Trigo, M, Aira, M, Cabezudo, B and Flores-Moya, A (2009). Benford’s law applied to aerobiological data and its potential as a quality control tool . Aerobiologia 25, pp. 275-283 . ISSN/ISBN:0393-5965. DOI:10.1007/s10453-009-9132-8. View Complete Reference Online information Works that this work references Works that reference this work
Dumičić, K and Cunjak Mataković, I (2019). Challenges of Benford’s Law goodness-of-fit testing in discovering the distribution of first digits: comparison of two industries. In Proceedings of 15th International Symposium on Operational Research SOR'19, Zadnik Stirn, L., Kljajić Borštnar, M., Žerovnik, J., Drobne, S., Povh, J. (Eds.), Slovenian Society Informatika, Section for Operational Research, Ljubljana, pp. 290-295. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34. View Complete Reference Online information Works that this work references Works that reference this work
Geyer, CL and Williamson, PP (2004). Detecting Fraud in Data Sets Using Benford's Law. Communications in Statistics: Simulation and Computation 33(1), pp. 229-246. ISSN/ISBN:0361-0918. DOI:10.1081/SAC-120028442. View Complete Reference Online information Works that this work references Works that reference this work
Hickman, MJ and Rice, SK (2010). Digital Analysis of Crime Statistics: Does Crime Conform to Benford’s Law?. Journal of Quantitative Criminology 26(3), pp. 333-349. ISSN/ISBN:1573-7799. DOI:10.1007/s10940-010-9094-6. View Complete Reference Online information Works that this work references Works that reference this work
Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237. View Complete Reference Online information Works that this work references Works that reference this work
Holz, CA (2014). The quality of China’s GDP statistics. China Economic Review, vol. 30, September 2014, pp. 309–338. DOI:10.1016/j.chieco.2014.06.009. 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
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
Newcomb, S (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics 4(1), pp. 39-40. ISSN/ISBN:0002-9327. DOI:10.2307/2369148. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons: Hoboken, New Jersey; (2nd edition published in 2020, isbn 978-1-119-58576-3). ISSN/ISBN:978-0-470-89046-2. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ and Miller, SJ (2009). Data Diagnostics Using Second-Order Tests of Benford's Law. Auditing: A Journal of Practice & Theory 28(2), pp. 305-324. DOI:10.2308/aud.2009.28.2.305 . View Complete Reference Online information Works that this work references Works that reference this work
Omerzu, N and Kolar, I (2019). Do the Financial Statements of Listed Companies on the Ljubljana Stock Exchange Pass the Benford’s Law Test?. International Business Research, Canadian Center of Science and Education 12(1), pp. 54-64, January. DOI:10.5539/ibr.v12n1p54. View Complete Reference Online information Works that this work references Works that reference this work
Papić, M, Vudrić, N and Jerin, K (2017). Benfordov zakon i njegova primjena u forenzičkom računovodstvu [Benford's Law and Its Application in Forensic Accounting]. Zbornik sveučilišta Libertas, Vol. 1-2 No. 1-2, pp. 153-172. BOS View Complete Reference Online information Works that this work references Works that reference this work
Rauch, B, Göttsche, G, Brähler, G and Kronfeld, T (2014). Deficit versus Social Statistics: Empirical Evidence for the Effectiveness of Benford’s Law. Applied Economics Letters 21(3), pp. 147-151. DOI:10.1080/13504851.2013.844319. View Complete Reference Online information Works that this work references Works that reference this work
Shi, J, Ausloos, M and Zhu, T (2018). Benford's law is the first significant digit and distribution distances for testing the reliability of financial reports in developing countries. Physica A: Statistical Mechanics and its Applications 492(1), pp. 878-888. DOI:10.1016/j.physa.2017.11.017. View Complete Reference Online information Works that this work references Works that reference this work
Shrestha, I (2016). Validity of the Financial Statements: Benford's Law. Preprint, posted on overleaf.com; last accessed June 11, 2019. View Complete Reference Online information Works that this work references Works that reference this work
Slijepčević, S and Blašković, B (2014). Statistical detection of fraud in the reporting of Croatian public companies. Financial Theory and Practice, 38(1), pp. 81-96. DOI:10.3326/fintp.38.1.4. View Complete Reference Online information Works that this work references Works that reference this work