Box-Jenkins Methodology
PHASEÂ I : Identification and Preparation
- Data PreparationÂ
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
PHASEÂ II : Estimation and Testing
- Estimation
Estimate parameters in potential models
Select best model using suitable criteria
- Diagnostics
Check ACF/PACF of residualsÂ
Do portmanteau test of residuals
PHASEÂ II : Forecasting/Application
Using the derived model to forecast future series
AI_21_Ajink Gupta Answered question May 13, 2024
[…] a. Explain Box-Jenkins intervention analysis. […]