Box Jenkins models
Origin: It. modello, lat. capsa
A modeling technique for time series named after the statisticians George Box and Gwilym Jenkins. Investopedia says: “A mathematical model designed to forecast data within a time series. The Box-Jenkins 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 autoregression, 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”.
Spanish: Modelos de la Caja Jenkins.
Sources and references
- Box, G.E.P. and G.M. Jenkins (1970) Time series analysis: Forecasting and control, San Francisco: Holden-Dayview
- Brockwell, Peter J. and Davis, Richard A. “Time Series: Theory and Methods”view
- Pankratz, Alan “Forecasting with univariate Box–Jenkins models: concepts and cases”view
- Investopia : http://www.investopedia.com/terms/b/box-jenkins-model.asp#ixzz1sAnHLrBeview
Term connections
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