On empirical Bayes simultaneous selection procedures for comparing normal populations with a standard

DOI10.1016/S0378-3758(98)00177-3zbMath0933.62014WikidataQ126857611 ScholiaQ126857611MaRDI QIDQ1298943

Shanti S. Gupta, Ta Chen Liang

Publication date: 23 August 1999

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

zbMATH Keywords

rate of convergenceasymptotically optimalcomparison with a standardnonparametric empirical Bayesrelative regret risksimultaneous selection

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Statistical ranking and selection procedures (62F07) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

Selecting the best of two gamma populations having unequal shape parameters

Cites Work

• Unnamed Item
• Minimax multiple t-tests for comparing k normal populations with a control
• Gamma-minimax selection procedures in simultaneous testing problems
• Empirical Bayes estimation in Lebesgue-exponential families with rates near the best possible rate
• A Multiple Comparison Procedure for Comparing Several Treatments with a Control
• On Selecting a Subset Which Contains All Populations Better Than a Standard
• Some Model I Problems of Selection
• The Empirical Bayes Approach to Statistical Decision Problems
• 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

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