box-jenkins methodology
The Box-Jenkins methodology is a time series analysis technique used to identify and forecast patterns in data. It involves three stages: identification, estimation, and diagnostic checking. This methodology helps in developing and fitting autoregressive integrated moving average (ARIMA) models, which are widely used for forecasting in various fields.
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