Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/173170| Title: | Will COVID-19 confirmed cases in the USA reach 3 million? A forecasting approach by using SutteARIMA Method |
| Author: | Ahmar, Ansari Saleh Boj del Val, Eva |
| Keywords: | COVID-19 Teoria de la predicció Estadística COVID-19 Prediction theory Statistics |
| Issue Date: | Nov-2020 |
| Publisher: | Elsevier B.V. |
| Abstract: | Objectives: Forecasting the number of COVID-19 cases in the USA can provide an overview and projection of the development of COVID-19 cases in the US so that policy makers can determine the steps that must be taken. This study aimed to determine whether COVID-19 confirmed cases in the USA would reach 3 million cases with the SutteARIMA method forecasting approach. Methods: Data from this study were obtained from the Worldometer data on 15 February 2020 to 2 July 2020. Data from 15 February 2020 to 25 June 2020 were used to performance data fitting (26 June 2020-2 July 2020). Data fitting is used to examine the extent of the accuracy of the SutteARIMA method in predicting data. To examine the level of the data accuracy, the MAPE method was used in this study. (...) |
| Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.crbeha.2020.100002 |
| It is part of: | Current Research in Behavioral Sciences, 2020, vol. 1, num. 100002, p. 1-3 |
| URI: | http://hdl.handle.net/2445/173170 |
| Related resource: | https://doi.org/10.1016/j.crbeha.2020.100002 |
| ISSN: | 2666-5182 |
| Appears in Collections: | Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 705796.pdf | 799.52 kB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License
