A mathematical model
designed to forecast data within a time series. The Box-Jenkin model
alters the time series to make it stationary by using the differences
between data points. This allows the model to pick out trends,
typically using auto regresssion, moving averages and seasonal
differencing in the calculations.
Autoregressive Integrated Moving Average (ARIMA) models are a form of Box-Jenkins model.
Estimations of the parameters of the Box-Jenkins model is very complicated and is most often achieved through the use of software. The model was created by two mathematicians, George Box and Gwilym Jenkins, and outlined in their 1970 paper, "Time Series Analysis: Forecasting and Control."
Autoregressive Integrated Moving Average (ARIMA) models are a form of Box-Jenkins model.
Estimations of the parameters of the Box-Jenkins model is very complicated and is most often achieved through the use of software. The model was created by two mathematicians, George Box and Gwilym Jenkins, and outlined in their 1970 paper, "Time Series Analysis: Forecasting and Control."
