"BRIMA" stands for Box-Jenkins Integrated Moving Average. It is a statistical model used primarily for time series forecasting where the data show both autoregressive (AR) and moving average (MA) components, alongside integration to handle non-stationarity in the data.
The BRIMA model is often abbreviated as ARIMA (AutoRegressive Integrated Moving Average), which has three main components:
1. **Autoregressive (AR)**: This part captures the


