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Author:Lon-Mu, L.
Title:Sales forecasting using multi-equation transfer function models. (!Multi-variable models)
Journal:Journal of Forecasting
1987 : OCT-DEC, VOL. 6:4, p. 223-238
Index terms:SALES FORECASTING
Language:eng
Abstract:It is aimed to demonstrate how multivariate forecasting models can be effectively used to generate high performance forecasts for typical business applications. The forecasts generated by a simultaneous transfer function model and a white noise regression model are compared with that of a univariate ARIMA model. The accuracy of these forecasting models is judged. It is found that ignoring the residual serial correlation can greatly degrade the forecasting performance of a multivariable model, and in some cases, cause a multivariable model to perform inferior to a univariate ARIMA model.
SCIMA record nr: 57054
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