Autoregressive integrated moving average (ARIMA) model

Autoregressive integrated moving average (ARIMA) model,

Definition of Autoregressive integrated moving average (ARIMA) model:

  1. Autoregressive moving average process (ARMA) model of a differenced time series (one that has been rendered stationary by the elimination of drift) whose output needs to be anti-differenced to forecast the original series. ARIMA models can represent a wide range of time series data, and are used generally in computing the probability of a future value lying between any two limits. See also Box-Jenkins models.

Meaning of Autoregressive integrated moving average (ARIMA) model & Autoregressive integrated moving average (ARIMA) model Definition