A model for a time series which resembles an ARMA model except that it is presumed that the time series has a steady underlying trend (see moving average). The model therefore works with the differences between the successive observed values, instead of the values themselves. To retrieve the original data from the differences requires a form of integration and the model is therefore called an autoregressive integrated moving average model. A model incorporating additional space-time variation is called a STARIMA model.