Selecting all Treatments Better than a Control using Existing Tables

Roger L. Berger

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this paper subset selection procedures for selecting all treatment populations with means larger than a control population are proposed. The treatments and control are assumed to have a multivariate normal distribution. Various covariance structures are considered. All of the proposed procedures are easily implemented using existing tables of the multivariate normal and multivariate t distributions. Some other procedures which have been proposed require extensive and unavailable tables for their implementation.

Original languageEnglish (US)
Pages (from-to)2025-2037
Number of pages13
JournalCommunications in Statistics - Theory and Methods
Volume10
Issue number20
DOIs
StatePublished - Jan 1 1981
Externally publishedYes

Keywords

  • multivariate normal
  • multivariate t
  • P*-condition
  • repeated measures
  • subset selection

ASJC Scopus subject areas

  • Statistics and Probability

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