Establishing functional relationships in multiple response simulation: The multivariate general linear metamodel

  • Authors:
  • Linda Weiser Friedman

  • Affiliations:
  • -

  • Venue:
  • WSC '84 Proceedings of the 16th conference on Winter simulation
  • Year:
  • 1984

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Abstract

The general linear metamodel has been found to be an effective tool in post-simulation analysis. This paper addresses the multiple response problem in simulation and proposes a multivariate general linear metamodel as an aid in understanding and interpreting simulation results. Such a metamodel was developed using multiple response data generated from an M/M/1 queueing system simulation. The results supported the author's contention as to the value and validity of this type of multivariate technique in simulation.