Advanced methods for simulation output analysis

  • Authors:
  • Christos Alexopoulos

  • Affiliations:
  • School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia

  • Venue:
  • WSC '95 Proceedings of the 27th conference on Winter simulation
  • Year:
  • 1995

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Abstract

This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditions and estimating steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, the standardized time series method, the autoregressive method, and the spectral estimation method.