What are some common errors when using ARIMA models?
Some common errors include mis-specifying the model order, not checking for stationarity, and ignoring seasonality.
How can I check if my time series is stationary?
You can use the Augmented Dickey-Fuller test or visualize the series with a rolling mean and variance.
What should I do if my series is not stationary?
You can difference the series, apply transformations like log or square root, or use seasonal decomposition.
What does it mean to mis-specify the model order?
Mis-specifying the model order means choosing incorrect values for p, d, or q parameters, leading to poor forecasts.
Can you explain how to choose the right parameters for ARIMA?
You can use ACF and PACF plots to identify potential values for p and q, and use criteria like AIC for model selection.
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