Time Series Forecasting by Using Box-Jenkins Models
Forecasting
Box-Jenkins
autoregressive integrated moving average (ARIMA)
Autoregressive (AR)
moving average (MA)
autocorrelation function (ACF)
partial autocorrelation function (PACF)
In this paper we introduce a brief review about Box-Jenkins models. The acronym ARIMA stands for “autoregressive integrated moving averageâ€. It is a good method to forecast for stationary and non stationary time series. According to the data which obtained from Baghdad Water Authority, we are modelling two series, the first one about pure water consumption and the second about the number of participants. Then we determine an optimal model by depending on choosing minimum MSE as criterion.