Predicting predictions; A comparative analysis of linear, non-linear, and hybrid models for B2B demand forecasting in heterogeneous product portfolios

Additional Metadata
Keywords	XGBoost, Hybrid forecasting, ARIMA-Hybrid, ARIMA, Demand forecasting
Thesis Advisor	Gabel, Sebastian, Lemmens, Aurélie
Persistent URL	hdl.handle.net/2105/77644
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Piloo, Ches. (2025). Predicting predictions; A comparative analysis of linear, non-linear, and hybrid models for B2B demand forecasting in heterogeneous product portfolios. In Business Analytics & Management.http://hdl.handle.net/2105/77644

Publication