Three-Stage Procedures for Selecting the Largest Normal Mean

DOI10.1080/01966324.1991.10737310zbMath0777.62081OpenAlexW2070717790MaRDI QIDQ3136525

Nitis Mukhopadhyay, John Judge

Publication date: 18 October 1993

Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01966324.1991.10737310

zbMATH Keywords

tablesleast favorable configurationaverage sample sizelargest meanprobability of correct selectionindifference zone approachasymptotic second order expansionsthree-stage selection proceduresindependent normal populationsunknown common varianceasymptotic number of extra samplessample size performancesecond-order asymptotic efficiency property

Mathematics Subject Classification ID

Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07)

Related Items (1)

Accelerated sequential procedure for selecting the best exponential population

Cites Work

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• Asymptotic theory of triple sampling for sequential estimation of a mean
• A Sequential Procedure for Selecting the Largest of $k$ Means
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
• A Two-Sample Test for a Linear Hypothesis Whose Power is Independent of the Variance

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