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Subset-Selection Procedures Based on Linear Rank-Order Statistics
1980Let R=(R1,R2,...,Rm) be a random vector as described in the introduction, associated with the random vector (X1,X2,...,Xm). The general linear rank-order-statistic based on R is defined by $$S:=\sum\limits_{i=1}^{m}{{{c}_{i}}a\left( {{R}_{i}} \right)},$$ (1.1) where the constants ci, ie{1,...,m}, are called regression constants.
H. Büringer, H. Martin, K.-H. Schriever
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The Complete Categorized Guide to Statistical Selection and Ranking Procedures.
Journal of the American Statistical Association, 1985Jason C. Hsu +2 more
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Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures
INFORMS Journal on Computing, 2022David J Eckman, Shane Henderson
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The complete categorized guide to statistical selection and ranking procedures
Transportation Research Part A: General, 1983openaire +1 more source
Fixed-Confidence, Fixed-Tolerance Guarantees for Ranking-and-Selection Procedures
ACM Transactions on Modeling and Computer Simulation, 2021David J Eckman, Shane Henderson
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Selection and ranking procedures: a brief introduction
Communications in Statistics - Theory and Methods, 1977Shanti S Gupta
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Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures
ACM Transactions on Modeling and Computer Simulation, 2003Enver Yücesan, Sheldon Howard Jacobson
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