The Problem of Experimental Design in Simulation

Abstract

In many cases, a simulation study may be viewed as an experimental situation in which a number of factors (independent variables) are to be investigated. However, standard experimental design techniques often require more simulation runs than are available to the simulation user. In general, the primary problem of experimental design in simulation can be succinctly summarized as too many factors and too few runs. A discussion of this problem is presented in this report. Three possible two-stage strategies for attacking the problem are considered, and performance measures with which to judge the strategies are described. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1981
Accession Number
ADA099703

Entities

People

  • Carl A. Mauro
  • Dennis E. Smith

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computer Programs
  • Computer Simulations
  • Computers
  • Data Science
  • Experimental Design
  • Factor Analysis
  • Information Science
  • Judgment
  • Mathematical Models
  • Models
  • Operations Research
  • Probability
  • Random Variables
  • Simulations
  • Statistical Analysis
  • United States

Readers

  • Regression Analysis.
  • Systems Analysis and Design