An Evaluation of Forecasting Methods and Forecast Combination Methods in Goods Management Systems

dc.contributor.author	Klapper, Matthias	de
dc.contributor.author	Schneider, Carsten	de
dc.contributor.author	Wenzel, Thomas	de
dc.date.accessioned	2004-12-06T18:40:46Z
dc.date.available	2004-12-06T18:40:46Z
dc.date.issued	1999	de
dc.description.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.	en
dc.format.extent	44393 bytes
dc.format.extent	583278 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4968
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-3089
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	ARX forecasts	en
dc.subject	asymmetric loss function	en
dc.subject	combination of forecasts	en
dc.subject	dynamic linear model	en
dc.subject	goods management system	en
dc.subject.ddc	310	de
dc.title	An Evaluation of Forecasting Methods and Forecast Combination Methods in Goods Management Systems	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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