Using passenger forecasts to predict perfume sales after covid

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Keywords	luxury goods, supervised machine learning, (S)ARIMA(X), ETS, airport passengers, sales after covid, missing value methods
Thesis Advisor	Gabel, Sebastian, Lemmens, Aurélie
Persistent URL	hdl.handle.net/2105/66106
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
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	Welling, Maxime. (2023, January 31). Using passenger forecasts to predict perfume sales after covid. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/66106

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