ESTIMATING AND FORECASTING COVID-19 CASES IN SULAWESI ISLAND USING GENERALIZED SPACE-TIME AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL

ESTIMATING AND FORECASTING COVID-19 CASES IN SULAWESI ISLAND USING GENERALIZED SPACE-TIME AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL

A range of spatio-temporal models has been used to model Covid-19 cases. However, there is only a small amount of literature on the analysis of estimating and forecasting Covid-19 cases using the Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) model. This model is a develo...

Full description

Bibliographic Details
Main Authors: Sukarna Sukarna, Nurul Fadilah Syahrul, Wahidah Sanusi, Aswi Aswi, Muhammad Abdy, Irwan Irwan
Format: Article
Language:English
Published: Universitas Diponegoro 2023-04-01
Series:Media Statistika
Subjects:
estimating
forecasting
gstarima
covid-19
Online Access:https://ejournal.undip.ac.id/index.php/media_statistika/article/view/45557

Internet

https://ejournal.undip.ac.id/index.php/media_statistika/article/view/45557

Similar Items