BRIMA modeling, which stands for Box-Jenkins Integrated Moving Average, is a time series forecasting technique that extends the traditional ARIMA (AutoRegressive Integrated Moving Average) model to accommodate seasonal data. BRIMA seamlessly integrates seasonal effects into the ARIMA framework.
If you're looking to develop or analyze BRIMA models, it's essential to understand the components:
1. **Seasonal Differencing (S)**: To handle


