Abstract
Stationary time series models were introduced by Yule in (1926), he studied the autoregressive model AR (q). Wlker in (1931) introduced the general model of the autoregressive models. Stutzky (1937) studied models of moving average MA(s) and put it’s general formula. Then completed his way to find the model in a mixed and complete way by Wold in (1938), where he developed these two models with a series of operations into three directions in the estimation procedure and called it the autoregressive_ moving average (ARMA) models. This model is used if data is stationary.
ARMA models are mathematical formulas that represent the continuity pattern of the phenomenon, or the type of correlation between the time series and itself. It is widely used in many sciences such as economics, geography, aviation, agricultural sciences, physical systems and other fields. Models can help us to understand how the system works by detecting the properties associated with this system.
ARMA models are mathematical formulas that represent the continuity pattern of the phenomenon, or the type of correlation between the time series and itself. It is widely used in many sciences such as economics, geography, aviation, agricultural sciences, physical systems and other fields. Models can help us to understand how the system works by detecting the properties associated with this system.