Box-Jenkins Methodology
PHASE I : Identification and Preparation
- Data Preparation
Differencing the data to achieve stationary series
Transform data to stabalize variance
- Model Selection/identification
Shortlist suitable models according to the data
Apply ACF and PACF to determine potential models
PHASE II : Estimation and Testing
- Estimation
Estimate parameters in potential models
Select best model using suitable criteria
- Diagnostics
Check ACF/PACF of residuals
Do portmanteau test of residuals
PHASE II : Forecasting/Application
Using the derived model to forecast future series
AI_21_Ajink Gupta Answered question May 13, 2024
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