Forecasting via the Box-Jenkins method

In numerous marketing studies, there is a need for adequate and appropriate forecasting methods. The Box-Jenkins model-building technique for discrete, correlated data points is described for both univariate and multivariate input-output models, yielding minimum mean square error forecasts. The procedure is applicable where at least fifty observations occurring at equally spaced time intervals are available.