The Simulation Metamodel
Springer-Verlag New York Inc.
978-1-4612-8556-4 (ISBN)
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.
1 Introduction To Simulation Modeling And Metamodeling.- 1 References.- 2 The Simulation Model And Metamodel.- The Simulation Model.- The Simulation Metamodel.- Levels of Abstraction in Simulation.- 2 References.- 3 The Metamodel In Perspective: Statistical Considerations In Simulation Experiments.- Some Statistical Considerations.- Strategic Considerations.- Tactical Considerations.- Experimental Design in Simulation.- The Multiple Response Simulation Experiment.- 3 References.- 4 Metamodeling.- Building the Simulation Metamodel.- Steps in Metamodeling.- Validating the Simulation Metamodel.- Example: A Metamodel for the M/M/s Queuing System.- The Simulation Model.- The Simulation Metamodel.- Validating the Simulation Metamodel.- Using the Simulation Metamodel.- 4 References.- 5 Survey Of Current Research.- Metamodel Usage.- Sensitivity Analysis.- Optimization.- Decision Support.- Applications.- Manufacturing.- Ecology.- Computer Performance Evaluation.- Hospital Planning.- Military.- Metamodel Methodology.- Method of Statistical Analysis.- Sample Size.- Variance Reduction.- The Metamodeling Experiment.- Metamodel Validation.- Metamodeling: Assessing the Technique.- Combining Metamodeling with other Model Types.- 5 References.- 6 Metamodeling: Some Additional Examples.- Example: A Time-shared Computer System.- Example: An Inventory Control System.- 6 References.- Appendix: The Linear Regression Model.
| Zusatzinfo | XX, 202 p. |
|---|---|
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Algebra | |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management | |
| ISBN-10 | 1-4612-8556-9 / 1461285569 |
| ISBN-13 | 978-1-4612-8556-4 / 9781461285564 |
| Zustand | Neuware |
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