The efficiency of subset selection of an epsilon-best uniform population relative to selection of the best one

P. Laan, van der

    Research output: Book/ReportReportAcademic

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    Abstract

    Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \mu_i \in R^1, i = 1, ..., k. The best population is defined as the population with the largest value of the location parameter. In \epsilon-best population (with \epsilon \geq 0) is a population with location parameter on a distance not larger than \epsilon from the largest value of \mu. It is possible to consider subset selection for an \epsilon-best population relative to subset selection for the best one. The relative efficiency is defined and computed in dependence of k and \epsilon for some values of the confidence level P* of selection.
    Original languageEnglish
    Place of PublicationEindhoven
    PublisherTechnische Universiteit Eindhoven
    Number of pages7
    Publication statusPublished - 1993

    Publication series

    NameMemorandum COSOR
    Volume9312
    ISSN (Print)0926-4493

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