Selecting the Best Component of a Multivariate Normal Population

DOI10.1080/03610920902947733zbMath1175.62019OpenAlexW1998969816MaRDI QIDQ3645037

Yoshikazu Takada

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/10.1080/03610920902947733

zbMATH Keywords

multivariate normal distributionindifference-zone approachasymptotically first-order and second-order efficienciestwo-stage and three-stage procedures

Mathematics Subject Classification ID

Multivariate analysis (62H99) Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07)

Cites Work

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• Asymptotic considerations for selecting the best component of a multivariate normal population
• Asymptotic theory of triple sampling for sequential estimation of a mean
• Asymptotic second-order efficiency of three-stage procedure with a warranted confidence level
• Using Common Random Numbers for Indifference-Zone Selection and Multiple Comparisons in Simulation
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances

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