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We now have a fair idea about how we can use ARIMA modelling in R to estimate and forecast a time series.
This is also called the Box–Jenkins method, named after the statisticians George Box and Gwilym Jenkins, that applies autoregressive moving average (ARMA) or autoregressive integrated moving average (ARIMA) models to find the best fit of a time-series model to past values of a time series.
