Selecting All Treatments Better Than a Control Using Existing Tables.

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. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1980
Accession Number
ADA093710

Entities

People

  • Roger L. Berger

Organizations

  • Florida State University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Covariance
  • Data Science
  • Distribution Functions
  • Equations
  • Information Science
  • Integrals
  • Military Research
  • Normal Distribution
  • Notation
  • Order Statistics
  • Probability
  • Random Variables
  • Standards
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.