Forecasting with Mathematical Models in Python: ARIMA and Growth Rate Models
This brief manuscript describes the forecasting models which are ARIMA model consists of three components: the AutoRegressive (AR) component, the Integrated (I) component, and the Moving Average (MA) component and a Growth Rate model used in various time series data forecasting. Here a simple example is taken to describe the comparative analysis of both models in Python code.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-28
- DOI
- https://doi.org/10.5281/zenodo.15099607
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00