Box-Jenkins Model

A methodology that makes forecasts of future economic behavior by applying a best fit model to past behavior. In using the model, one applies an autoregressive moving average to past data. In order to do this accurately, one must identify the data being measured and ensure it is independent of other variables, define the parameters of investigation, and check the model. The model is used in econometrics.

References in periodicals archive

Analysis of the historical data is used to identify an appropriate Box-Jenkins model y looking at their ACF, PACF, and stationary and seasonality behavior if any.

Domestic Tourism Forecasting in Pahang: Comparison of Selected Techniques

Box-Jenkins Model. The Box-Jenkins (BJ) approach models the system as shown in Figure 5.

A Novel Radio Wave Propagation Modeling Method Using System Identification Technique over Wireless Links in East Africa

The world cotton price forecasting by using Box-Jenkins model. Tekirdag J.

FORECASTING THE PRODUCTION OF GROUNDNUT IN TURKEY USING ARIMA MODEL

When the value of the current output [Y.sub.t] depends solely on p prior outputs and the current input (random shock) [e.sub.t], the Box-Jenkins model takes the form of

Statistical Methods for Predicting Malaria Incidences Using Data from Sudan

ARIMA model is known as Box-Jenkins model [4] which includes AR and MA models identified by Box-Jenkins methodology.

Forecasting Time Series Movement Direction with Hybrid Methodology

* Step 1 * Tentative identification: Book borrowing data are used to tentatively identify an appropriate Box-Jenkins model.

Improving efficacy of library services: ARIMA modelling for predicting book borrowing for optimizing resource utilization

The ARIMA model (Autoregressive Integrated Moving Average), known also as the Box-Jenkins Model, uses only stationary series (mean and variance are constant).

Prediction of environmental taxation trends in Romania, Bulgaria and Greece using the ARIMA model

Data obtained through the Box-Jenkins model, which were applied to develop index forecasting for trading volume of options on futures contracts, tend to show a decrease in the value question.

A possible trend of option on futures in Romanian capital market

For each time interval (hour or a part of it), the value of the deviation [[zeta].sub.t] is found by Box-Jenkins model. If the difference [v.sub.t] - [[zeta].sub.t] is suitable according to the previous criterion, equals [v.sub.t] - [[zeta].sub.t] equals [[xi].sub.t], and peak component value 0.

Stochasticity of the electrical network load

[5]; Appendix) was formulated for the Box-Jenkins model developed in step 2.

Time series techniques for dynamic, real-time control of wood-drying processes

The box-jenkins model includes several major steps.

Short-term enrollment projection: an example at state level