The Simulation Metamodel

  • Linda Weiser Friedman

Table of contents

  1. Front Matter
    Pages i-xix
  2. Linda Weiser Friedman
    Pages 1-11
  3. Linda Weiser Friedman
    Pages 13-31
  4. Linda Weiser Friedman
    Pages 77-101
  5. Linda Weiser Friedman
    Pages 103-153
  6. Linda Weiser Friedman
    Pages 155-170
  7. Back Matter
    Pages 171-202

About this book


Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study.
The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study.


Simulation linear optimization linear regression model modeling optimization regression sensitivity analysis

Authors and affiliations

  • Linda Weiser Friedman
    • 1
  1. 1.Baruch College School of BusinessThe City University of New YorkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag US 1996
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8556-4
  • Online ISBN 978-1-4613-1299-4
  • Buy this book on publisher's site