Autoregressive (AR): Uses the dependency between an observation and a number of lagged observations. Integrated (I): Represents the differencing of raw observations to make the time series stationary. Moving Average (MA): Uses the dependency between an observation and a residual error from a moving average model applied to lagged observations.
The model is generally denoted as ARIMA(p,d,q), where p, d, and q are non-negative integers that refer to the order of the AR, I, and MA parts of the model, respectively.
