Exploring the influence of synthetic data and diverse methodologies on spare parts demand forecasting

Additional Metadata
Keywords	Spare parts demand forecasting; Analytical Pluralism; Single Methods; Occam's Razor; Synthetic Data; Intermittent Data Predictions
Thesis Advisor	Dekker, R
Persistent URL	hdl.handle.net/2105/66894
Series	Business Economics
Organisation	Erasmus School of Economics
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	Harris-Wilson, K.O. (2023). Exploring the influence of synthetic data and diverse methodologies on spare parts demand forecasting. In Business Economics.http://hdl.handle.net/2105/66894

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