Minimax multiple t-tests for comparing k normal populations with a control

DOI10.1016/0378-3758(85)90065-5zbMath0573.62011OpenAlexW2080084972MaRDI QIDQ1062696

Shanti S. Gupta, Klaus J. Miescke

Publication date: 1985

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(85)90065-5

zbMATH Keywords

normal populationsindependent samplesunknown meanscommon unknown varianceminimax k- sample testsmultiple comparisons with a controlnonsymmetric priorssimultaneous t-test

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Minimax procedures in statistical decision theory (62C20) Statistical ranking and selection procedures (62F07)

Related Items (2)

On empirical Bayes procedures for selecting good populations in a positive exponential family ⋮ On empirical Bayes simultaneous selection procedures for comparing normal populations with a standard

Cites Work

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• Gamma-minimax selection procedures in simultaneous testing problems
• A Multiple Comparison Procedure for Comparing Several Treatments with a Control
• A Theory of Some Multiple Decision Problems. II
• On Selecting a Subset Which Contains All Populations Better Than a Standard
• Some Model I Problems of Selection
• On Partitioning a Set of Normal Populations by Their Locations with Respect to a Control
• $\Gamma$-Minimax Selection Procedures in Treatments Versus Control Problems
• On the Optimality of Some Multiple Comparison Procedures
• On the Comparison of Several Experimental Categories with a Control

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