Modern Design of Simulation Experiments

Abstract

Design of simulation experiments has long been neglected by experimenters, who tend to attempt either to run only k experiments to evaluate k factors, or to run 2**k experiments (often infeasible, always costly). In this paper we survey the possibilities and show how to design for valid inferences with practical-sized experiments. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA100695

Entities

People

  • Edward J. Dudewicz

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Books
  • Composite Materials
  • Data Science
  • Data Sets
  • Experimental Design
  • Factorial Design
  • Information Science
  • Job Shop Scheduling
  • Military Research
  • New York
  • Random Number Generators
  • Reaction Time
  • Simulations
  • Statistics
  • Surveys
  • Universities

Fields of Study

  • Computer science

Readers

  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference