Review of advanced methods for simulation output analysis

  • Authors:
  • Christos Alexopoulos;Seong-Hee Kim

  • Affiliations:
  • Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA

  • Venue:
  • WSC '05 Proceedings of the 37th conference on Winter simulation
  • Year:
  • 2005

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Abstract

This paper reviews statistical methods for analyzing output data from computer simulations. First, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and methods based on standardized time series. Second, it reviews recent statistical procedures to find the best system among a set of competing alternatives.