Yaccob, Nurul Aityqah
(2026)
Time series forecasting using the prophet model.
Bulletin.
Universiti Teknologi MARA, Negeri Sembilan.
Abstract
Effective forecasting is essential for informed decision-making across diverse sectors like business and healthcare. A prominent modern tool is the Prophet model, an extrapolative method developed by Facebook that simplifies time-series forecasting by decomposing historical data into intuitive trends and seasonal patterns. While it may not always outperform complex statistical models in accuracy, its automated nature and practical clarity make it a highly accessible choice for organizations looking to project future outcomes from past data.
Metadata
| Item Type: | Monograph (Bulletin) |
|---|---|
| Creators: | Creators Email / ID Num. Yaccob, Nurul Aityqah UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Time-series analysis Q Science > QA Mathematics > Online data processing Q Science > QA Mathematics > Analytic mechanics |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan |
| Journal or Publication Title: | What’s What FSKM |
| ISSN: | 2756-7729 |
| Keywords: | Forecasting, prophet model, time-series analysis, extrapolative method |
| Date: | April 2026 |
| URI: | https://ir.uitm.edu.my/id/eprint/136153 |
