On Approximate Optimality of the Sample Size for the Partition Problem

DOI10.1080/03610920902947600zbMath1175.62081OpenAlexW1989692648MaRDI QIDQ3645032

Yuefeng Wu, Tumulesh K. S. Solanky

Publication date: 16 November 2009

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

Full work available at URL: https://doi.org/10.1080/03610920902947600

zbMATH Keywords

simulationsclinical trialsoptimal allocationsequential procedureprobability of correct decisioncorrect partition

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Sequential statistical design (62L05) Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07)

Cites Work

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• A SEQUENTIAL PROCEDURE WITH ELIMINATION FOR PARTITIONING A SET OF NORMAL POPULATIONS HAVING A COMMON UNKNOWN VARIANCE
• A Two-Stage Procedure with Elimination for Partitioning a Set of Normal Populations with Respect to a Control
• On Partitioning a Set of Normal Populations by Their Locations with Respect to a Control
• Optimal allocation of observations for partitioning a set of normal populations in comparison with a control
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
• Multistage methodologies for comparing several treatments with a control

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