Analyzing Two-Level Fractional Factorial Experiments for Possible Dispersion Effects

Abstract

Unreplicated fractional factorial designs are frequently employed as screening designs when it is believed that a condition of effect sparisity will ensure that only a few of the possible effects are likely to be large. After considering the concept of effect sparisity as a justification for the use of unreplicated fractional designs, we discuss the situation where factors may influence not only the location but also the dispersion of the data. The aliasing of location and dispersion effects is explored and methods for identifying an appropriate location - dispersion model are considered.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA149455

Entities

People

  • George E. Box
  • R. D. Meyer

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Combinatorial Analysis
  • Contracts
  • Data Analysis
  • Data Science
  • Equations
  • Factorial Design
  • Identification
  • Identities
  • Information Science
  • Mathematics
  • Military Research
  • North Carolina
  • Probability
  • Quality Control
  • Statistics
  • Tensile Strength
  • United States

Fields of Study

  • Mathematics

Readers

  • Computer Vision.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • ballistics.