Accession Number:

ADA093710

Title:

Selecting All Treatments Better Than a Control Using Existing Tables.

Descriptive Note:

Technical rept.,

Corporate Author:

FLORIDA STATE UNIV TALLAHASSEE DEPT OF STATISTICS

Personal Author(s):

• Berger,Roger L.

Report Date:

1980-10-01

Pagination or Media Count:

17.0

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

Descriptors:

• *MULTIVARIATE ANALYSIS
• *NORMAL DISTRIBUTION
• RANDOM VARIABLES
• STATISTICAL SAMPLES
• CONVERGENCE
• COVARIANCE
• CONTROL THEORY
• NUMERICAL METHODS AND PROCEDURES
• CORRELATION TECHNIQUES
• CHI SQUARE TEST
• THEOREMS
• MINIMAX TECHNIQUE

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE