Designing Two Factor Experiments for Selecting Interactions.

Abstract

The problem of devising a single-stage procedure for selecting the factor-level combination associated with the largest positive interaction is studied for the two-factor rxc (r > or = 2, c > or = 3) experiment involving qualitative variables when the common variance is known. The intuitive procedure based on the best linear unbiased estimators of the population interactions is employed.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1978
Accession Number
ADA061588

Entities

People

  • Thomas J. Santner

Organizations

  • Cornell University College of Engineering

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  • Human Systems

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  • Algorithms
  • Applied Mathematics
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Fields of Study

  • Mathematics

Readers

  • Regression Analysis.