Araştırma Makalesi

COVID-19 DATA RELIABILITY RANKING OF COUNTRIES WITH GREY RELATIONAL ANALYSIS AND BENFORD’S LAW / Gri İlişkisel Analiz Ve Benford Yasası Yardımıyla Ülkelerin Covid-19 Veri Güvenirliği Sıralaması

Cilt: 6 Sayı: 1 30 Nisan 2022
PDF İndir
TR EN

COVID-19 DATA RELIABILITY RANKING OF COUNTRIES WITH GREY RELATIONAL ANALYSIS AND BENFORD’S LAW / Gri İlişkisel Analiz Ve Benford Yasası Yardımıyla Ülkelerin Covid-19 Veri Güvenirliği Sıralaması

Abstract

The covid-19 disease has become a pandemic that spreads at an unexpected pace around the world. There are more than 450 million cases and 6 million deaths worldwide at the start of March 2022. Benford's law is a statistical technique that serves to determine whether data fraud has been committed in a data structure that uses repetitive numbers. In this study, 18 countries with more than 5 million cases worldwide were ranked using grey relational analysis with the help of Benford's law, an effective method of data fraud. 18 countries are listed separately for 2 years of data with the help of the grey relational analysis method and Benford’s analysis results. According to the results of the study, it was determined that some countries showed changes in data reliability between 2020 and 2021. It has been determined that the data of Germany, France, and the Netherlands are the most reliable.

Keywords

Kaynakça

  1. Benford, F. (1938). The Law of Anomalous Numbers. Proceedings of the American Philosophical Society, 78, 551-572.
  2. Berton, L. (1955). He’s Got their Number. Scholar Uses Math to Foil Financial Fraud. Wall Street Journal, July10.
  3. Buck, B., Merchant, A. C. and Perez, S. M. (1993). An illustration of Benford’s First Digit Law Using Alpha Decay Half-Lives. European Journal of Physics, 14, 59–63.
  4. Carslaw, C. (1988). Anomalies in Income Numbers. Evidence of Goal Oriented Behavior. The Accounting Review, 63(2), 321-327.
  5. Cho, W.K.T. and Gaines, B.J. (2007). Breaking the (Benford’s) Law: Statistical Fraud Detection in Campaign Finance. American Statistician, 61(3), 218–223.
  6. Costas, E., López-Rodas, V., Javier Toro, F., and Flores-Moya, A. (2008). The Number of Cells in Colonies of the Cyanobacterium Microcystis Aeruginosa Satisfies Benford’s Law. Aquatic Botany, 89(3), 341–343.
  7. Deng, J. (1982). Control Problems of Grey Systems. Systems and Control Letters, 1(5), 288-294.
  8. Docampo, S. del Mar Trigo, M., Aira, M. J., Cabezudo, B. and Flores-Moya, A. (2009). Benford’s Law Applied to Aerobiological Data and Its Potential as A Quality Control Tool. Aerobiologia, 25(4), 275–283.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yöneylem

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Nisan 2022

Gönderilme Tarihi

12 Mart 2022

Kabul Tarihi

15 Nisan 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 6 Sayı: 1

Kaynak Göster

APA
Erilli, N. A. (2022). COVID-19 DATA RELIABILITY RANKING OF COUNTRIES WITH GREY RELATIONAL ANALYSIS AND BENFORD’S LAW / Gri İlişkisel Analiz Ve Benford Yasası Yardımıyla Ülkelerin Covid-19 Veri Güvenirliği Sıralaması. Uluslararası Ekonomi İşletme ve Politika Dergisi, 6(1), 156-171. https://doi.org/10.29216/ueip.1086687

Cited By

Uluslararası Ekonomi, İşletme ve Politika Dergisi

Recep Tayyip Erdoğan Üniversitesi
İktisadi ve İdari Bilimler Fakültesi
İktisat Bölümü
Rize/ TÜRKİYE