On selecting a subset which contains all populations better than a control

DOI10.1080/03610928008827925zbMath0437.62031OpenAlexW2023005109MaRDI QIDQ3878533

Hubert J. Chen

Publication date: 1980

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928008827925

zbMATH Keywords

controlmultivariate t distributionmultivariate normal distributionsubset selection proceduresdependent populations

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Statistical ranking and selection procedures (62F07)

Related Items (6)

Selecting all treatments better than a control under a multivariate normal distribution and a uniform prior distribution ⋮ Selection of Populations: An Overview and Some Recent Results ⋮ Bootstrap selection procedures based on robust estimators ⋮ Selecting all treatments better than a control using existing tables ⋮ Comparing several exponential populations with more than one control ⋮ Selecting all treatments better than a control with a binomial prior distribution

Cites Work

• On Selecting a Subset Which Contains All Populations Better Than a Standard
• Probability Integrals of Multivariate Normal and Multivariate $t^1$
• On the order statistics from equally correlated normal random variables
• Unnamed Item

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