FRAUD DETECTION IN FINANCIAL REPORTS OF THREE PRIVATE HOSPITALS OPERATING IN SERBIA, TESTING WITH THE NEW TESTS
In this paper, we use Benford’s law as the main methodology for fraud detection in the financial reports of three private hospitals operating in Serbia. This law is a statistical method that can be used to quickly and efficiently detect suspicious positions and figures in large datasets. The law states that the leading digits from 1 to 9 appear in a decreasing logarithmic distribution. It states that the digit 1 appears most frequently with 30% of the time and the digit 9 has the lowest frequency with about 5% of the time according to this law. We also investigate the conformity of an empirical distribution of observed real data with the Benford’s distribution. The main goal of the paper is to present an application of the permutation tests as well as the bootstrap tests for checking conformity with the law, and the application of resampling methods is proposed.
engleski
2024
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Creative Commons CC BY-NC-ND 4.0 - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 4.0 International License.
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Keywords: Fraud detection, Benford’s law, statistical tests, resampling methods