How big should your data really be? : data-driven newsvendor : learning one sample at a time

Omar Besbes, Omar Mouchtaki

Year of publication:	2023
Authors:	Besbes, Omar ; Mouchtaki, Omar
Published in:	Management science : journal of the Institute for Operations Research and the Management Sciences. - Hanover, Md. : INFORMS, ISSN 1526-5501, ZDB-ID 2023019-9. - Vol. 69.2023, 10, p. 5848-5865
Subject:	data-driven decisions \| distributionally robust optimization \| empirical optimization \| finite samples \| limited data \| minimax regret \| sample average approximation \| Stichprobenerhebung \| Sampling \| Theorie \| Theory \| Robustes Verfahren \| Robust statistics \| Entscheidung unter Unsicherheit \| Decision under uncertainty \| Mathematische Optimierung \| Mathematical programming

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