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Like many other economic time series, US aggregate retail sales have strong trend and seasonal patterns. How to best model and forecast these patterns has been a long-standing issue in time-series analysis. This article compares artificial neural networks and traditional methods including Winters exponential smoothing, Box-Jenkins ARIMA model, and multivariate regression. The results indicate that...
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