Incomplete Block Designs for Comparing Treatments with a Control. I. General Theory.

Abstract

This is the first paper of a series in which we outline a theory of optimal incomplete block designs for comparing several treatments with a control, and give plans of optimal designs to use for this purpose. In the present paper we develop the basic theory of the incomplete block designs which are appropriate for the many-to-one comparisons problem; the optimality considerations for such designs will be addressed in subsequent papers. For this problem we propose a new general class of incomplete block designs which are balanced with respect to test treatments. We shall use the abbreviation BTIB to refer to such designs. We study their structure, and give some methods of construction. A procedure for making exact joint confidence statements for our multiple comparisons problem is described. Using a new concept of admissibility of designs, it is shown how 'inferior' designs can be eliminated from consideration. Some open problems concerning construction of BTIB designs are posed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA078330

Entities

People

  • Ajit C. Tamhane
  • Robert E. Bechhofer

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Construction
  • Covariance
  • Data Science
  • Engineering
  • Generators
  • Industrial Engineering
  • Information Science
  • Intervals
  • Military Research
  • Normal Distribution
  • Operations Research
  • Probability
  • Random Variables
  • Statistical Analysis
  • Statistics
  • Universities

Fields of Study

  • Mathematics

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  • Theoretical Analysis.