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ARIMA Q&A
1What is ARIMA?
Answer: Time series model combining autoregression, differencing, and moving average.
2Meaning of p,d,q?
Answer: p=AR order, d=differencing order, q=MA order.
3Why differencing in ARIMA?
Answer: Makes series stationary.
4How choose p and q?
Answer: Use ACF/PACF patterns and information criteria.
5AIC/BIC role?
Answer: Model selection balancing fit quality and complexity.
6What is SARIMA?
Answer: ARIMA with seasonal terms for periodic patterns.
7ARIMA assumptions?
Answer: Stationary residual behavior and linear dependency structure.
8How validate ARIMA?
Answer: Residual diagnostics and rolling forecast performance.
9ARIMA limitation?
Answer: Handles linear patterns; weaker for complex nonlinear dynamics.
10One-line summary?
Answer: ARIMA is a strong classical baseline for univariate forecasting.