A convergent algorithm for ranking and selection with censored observations
Author:
Affiliation:
1. School of Business, Sichuan University , China ;
2. Department of Industrial Systems Engineering and Management, National University of Singapore , Singapore ;
3. School of Statistics, Southwestern University of Finance and Economics , China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2055269
Reference32 articles.
1. On Implications of Demand Censoring in the Newsvendor Problem
2. Efficient Simulation Budget Allocation for Selecting an Optimal Subset
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