The User-Assisted Automated Experimental (TEST) Design Program (AED): Version II.

Abstract

The large number of factors commonly encountered in simulation and live field test programs dictates that a large (and costly) experimental (test) program be run if the classical full factorial experimental design is employed. Through the use of a screening process involving a sequential design, efficient economical pilot studies can be conducted, leading to a reduction in the number of factors and the size of the experimental space. Fractional factorial designs are used in the pilot studies. The experimental data provide guidance to the experimenter in terms of removing nonsignificant factors and thus reducing the size of the experimental space. This report documents the second phase of design, development, and use of interactive computer program to aid in the development of fractional factorial experimental designs. Fractional factorial experiments are a special class of experimental procedures that allow the user to perform a smaller number of experiments than would be required in the usual experimental procedures and which maximize information return while minimizing the number of observations (tests) required. The overall experimental design philosophy is described and a brief introduction into the theory of experimental design is presented. The Appendix describes how the computer program was constructed and how it should be used.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADA124303

Entities

People

  • Edwin G. Meyer
  • Robert G. Mills
  • William H. Rickels

Organizations

  • System Development Corporation

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Applied Mathematics
  • Combinatorial Analysis
  • Computational Science
  • Computer Programs
  • Data Analysis
  • Data Science
  • Experimental Data
  • Experimental Design
  • Factorial Design
  • Human Factors Engineering
  • Information Science
  • Mathematics
  • Pilot Studies
  • Plastic Explosives
  • Regression Analysis
  • Remotely Piloted Vehicles

Readers

  • Aerospace Test and Evaluation
  • Regression Analysis.

Technology Areas

  • Space