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 Style AAA Style APA 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, August 31). Exploring the influence of synthetic data and diverse methodologies on spare parts demand forecasting. Business Economics. Retrieved from http://hdl.handle.net/2105/66894

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