An Evaluation of Forecasting Methods and Forecast Combination Methods in Goods Management Systems
Date
1999
Journal Title
Journal ISSN
Volume Title
Publisher
Universitätsbibliothek Dortmund
Abstract
In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining methods lead to an improvement of the individual time series models.
Description
Table of contents
Keywords
ARX forecasts, asymmetric loss function, combination of forecasts, dynamic linear model, goods management system