Studies in Quality Improvement. I. Dispersion Effects from Fractional Designs. Revised

Abstract

Fractional factorial designs have been used successfully in industry and elsewhere to detect and estimate sparse factor effects. The effects usually envisioned measure changes in location associated with the experimental factors. In this paper we consider the possibility of detecting and estimating sparse dispersion effects measuring changes in variance associated with the factors. Key words: Fractional factorials, Industrial experimentation, Location effects, Dispersion effects, Model identification.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1985
Accession Number
ADA153516

Entities

People

  • George E. Box
  • R. D. Meyer

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Combinatorial Analysis
  • Contracts
  • Contrast
  • Data Science
  • Dispersions
  • Equations
  • Factorial Design
  • Identification
  • Identities
  • Information Science
  • Mathematics
  • New York
  • North Carolina
  • Probability
  • Statistics
  • United States
  • Wisconsin

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