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                                       Details for article 8 of 9 found articles
 
 
  Selecting all treatments better than a control using existing tables
 
 
Title: Selecting all treatments better than a control using existing tables
Author: Berger, Roger L.
Appeared in: Communications in statistics
Paging: Volume 10 (1981) nr. 20 pages 2025-2037
Year: 1981
Contents: 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
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 9 found articles
 
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