A SEQUENTIAL PROCEDURE WITH ELIMINATION FOR PARTITIONING A SET OF NORMAL POPULATIONS HAVING A COMMON UNKNOWN VARIANCE

DOI10.1081/SQA-100107649zbMath1011.62080OpenAlexW2054797996MaRDI QIDQ4331110

Tumulesh K. S. Solanky

Publication date: 16 June 2002

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sqa-100107649

zbMATH Keywords

simulationseliminationleast favourable configurationscontrol populationscorrect partitions

Mathematics Subject Classification ID

Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07) Paired and multiple comparisons; multiple testing (62J15)

Related Items (5)

A Stein-Type Two-Sample Procedure for Comparing Normal Means ⋮ A Generalization of the Partition Problem ⋮ A New Approach to Determine the Pilot Sample Size in Two-Stage Sampling ⋮ On Approximate Optimality of the Sample Size for the Partition Problem ⋮ A Two-Stage Procedure with Elimination for Partitioning a Set of Normal Populations with Respect to a Control

Cites Work

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• Note on Anderson's sequential procedures with triangular boundary
• An improvement on paulson's procedure for selecting the poprlation with the largest mean from k normal populations with a common unknown variance
• A Sequential Procedure for Selecting the Population with the Largest Mean from $k$ Normal Populations
• On Partitioning a Set of Normal Populations by Their Locations with Respect to a Control
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances

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