Araştırma Makalesi
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Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis

Yıl 2020, Cilt: 4 Sayı: 2, 424 - 432, 31.12.2020

Öz

Shortly after Covid 19 virus first appeared, it turned into an epidemic that threatened the health of the world. Many countries have difficulties to control the spread of the virus. It causes many casualties and also affects the countries from a socio-economic aspect. Therefore, it is an important issue that needs to be examined in detail. In this study, the detailed research for the Covid 19 data of G20 (Group of 20), EU (European Union) and OECD (Organisation for Economic Cooperation and Development) countries is carried out by using different statistical methods. It is aimed to present different perspectives for researchers by discussing important findings and results.

Kaynakça

  • Medical News Today (2020) Retrieved May 2020, from https://medicalnewstoday.com/articles/COVID19#incubation-period Box, G. E. P., (1994) Time series analysis : forecasting and control. Englewood Cliffs, N.J. Prentice Hall. Ünsal, M.G., & Kasap, R., (2014) Cases of Residual Types in Diagnostic Checking for ARMA Model. Hacettepe Journal of Mathematics and Statistics 43(3):1-10. http://hjms.hacettepe.edu.tr/uploads/7cc26d6d-b394-4c77933e-24fd1b92796e.pdf
  • Montgomery, D.C., (2015) Introduction to time series analysis and forecasting. New Jersey Wiley. Johnson, R.A., & Wichern, D.W., (2007) Applied Multivariate Statistical Analysis. 6th Edition, Pearson Prentice Hall, Upper Saddle River.
  • MacQueen, J.B., (1967) Some Methods for Classification and Analysis of Multivariate Observations. In: Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, University of California Press, Berkeley, 281-297. Data Hub (2020) Retrieved May 2020, from https://datahub.io/core/covid-19#data
Yıl 2020, Cilt: 4 Sayı: 2, 424 - 432, 31.12.2020

Öz

Kaynakça

  • Medical News Today (2020) Retrieved May 2020, from https://medicalnewstoday.com/articles/COVID19#incubation-period Box, G. E. P., (1994) Time series analysis : forecasting and control. Englewood Cliffs, N.J. Prentice Hall. Ünsal, M.G., & Kasap, R., (2014) Cases of Residual Types in Diagnostic Checking for ARMA Model. Hacettepe Journal of Mathematics and Statistics 43(3):1-10. http://hjms.hacettepe.edu.tr/uploads/7cc26d6d-b394-4c77933e-24fd1b92796e.pdf
  • Montgomery, D.C., (2015) Introduction to time series analysis and forecasting. New Jersey Wiley. Johnson, R.A., & Wichern, D.W., (2007) Applied Multivariate Statistical Analysis. 6th Edition, Pearson Prentice Hall, Upper Saddle River.
  • MacQueen, J.B., (1967) Some Methods for Classification and Analysis of Multivariate Observations. In: Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, University of California Press, Berkeley, 281-297. Data Hub (2020) Retrieved May 2020, from https://datahub.io/core/covid-19#data
Toplam 3 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Güray Ünsal

Reşat Kasap Bu kişi benim

Yayımlanma Tarihi 31 Aralık 2020
Gönderilme Tarihi 2 Kasım 2020
Kabul Tarihi 22 Kasım 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 4 Sayı: 2

Kaynak Göster

APA Ünsal, M. G., & Kasap, R. (2020). Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis. Journal of Turkish Operations Management, 4(2), 424-432.
AMA Ünsal MG, Kasap R. Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis. JTOM. Aralık 2020;4(2):424-432.
Chicago Ünsal, Mehmet Güray, ve Reşat Kasap. “Investigating Covid 19 Data for G20, EU and OECD Countries via Using Time Series Analysis & Cluster Analysis”. Journal of Turkish Operations Management 4, sy. 2 (Aralık 2020): 424-32.
EndNote Ünsal MG, Kasap R (01 Aralık 2020) Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis. Journal of Turkish Operations Management 4 2 424–432.
IEEE M. G. Ünsal ve R. Kasap, “Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis”, JTOM, c. 4, sy. 2, ss. 424–432, 2020.
ISNAD Ünsal, Mehmet Güray - Kasap, Reşat. “Investigating Covid 19 Data for G20, EU and OECD Countries via Using Time Series Analysis & Cluster Analysis”. Journal of Turkish Operations Management 4/2 (Aralık 2020), 424-432.
JAMA Ünsal MG, Kasap R. Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis. JTOM. 2020;4:424–432.
MLA Ünsal, Mehmet Güray ve Reşat Kasap. “Investigating Covid 19 Data for G20, EU and OECD Countries via Using Time Series Analysis & Cluster Analysis”. Journal of Turkish Operations Management, c. 4, sy. 2, 2020, ss. 424-32.
Vancouver Ünsal MG, Kasap R. Investigating Covid 19 data for G20, EU and OECD countries via using time series analysis & cluster analysis. JTOM. 2020;4(2):424-32.

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