Selected article for: "arima forecast and time series"

Author: Akay, S.; Akay, H.
Title: Time series model for forecasting the number of COVID-19 cases in Turkey
  • Cord-id: tqar79z9
  • Document date: 2021_1_1
  • ID: tqar79z9
    Snippet: Objective: Coronavirus disease 2019 (COVID-19) had an unprecedented effect on both nations and health systems. Time series modeling using Auto-Regressive Integrated Moving Averages (ARIMA) models have been used to forecast variables extensively instatistics and econometrics. We aimed to predict the total number of cases for COVID19 using ARIMA models of time-series analysis in Turkey.
    Document: Objective: Coronavirus disease 2019 (COVID-19) had an unprecedented effect on both nations and health systems. Time series modeling using Auto-Regressive Integrated Moving Averages (ARIMA) models have been used to forecast variables extensively instatistics and econometrics. We aimed to predict the total number of cases for COVID19 using ARIMA models of time-series analysis in Turkey.

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