Skip to main content
SpringerLink
Log in

The Simulation Metamodel

  • Book
  • © 1996

Overview

Authors:
  1. Linda Weiser Friedman

    1. Baruch College School of Business, The City University of New York, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Introduction to Simulation Modeling and Metamodeling

    • Linda Weiser Friedman
    Pages 1-11

  3. The Simulation Model and Metamodel

    • Linda Weiser Friedman
    Pages 13-31

  4. The Metamodel in Perspective: Statistical Considerations in Simulation Experiments

    • Linda Weiser Friedman
    Pages 33-75

  5. Metamodeling

    • Linda Weiser Friedman
    Pages 77-101

  6. Survey of Current Research

    • Linda Weiser Friedman
    Pages 103-153

  7. Metamodeling: Some Additional Examples

    • Linda Weiser Friedman
    Pages 155-170

  8. Back Matter

    Pages 171-202
    Download chapter PDF
Back to top

Keywords

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.

Authors and Affiliations

  • Baruch College School of Business, The City University of New York, USA

    Linda Weiser Friedman

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation