Further Details of an Analysis for Unreplicated Fractional Factorials.

Abstract

Recent work by Box and Meyer has outlined a new approach to analyzing unreplicated fractional factorials, utilizing the factor sparsity principle. It has been shown to be a formal analog to normal probability plotting. Further details of the analysis are explored here, in particular, sensitivity to choice of prior parameters, standard errors of effects, and extention of ideas to blocked and replicated designs. Keywords: Bayesian analysis; Experimental design; Factorial design.

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA180770

Entities

People

  • R. D. Meyer

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Data Science
  • Experimental Design
  • Factorial Design
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • Plotting
  • Probability
  • Sensitivity
  • Standards

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms