Validation of correlation-induction strategies for simulation experiments

  • Authors:
  • Jeffrey D. Tew;James R. Wilson

  • Affiliations:
  • School of Industrial Engineering, Purdue University, West Lafayette, Indiana;School of Industrial Engineering, Purdue University, West Lafayette, Indiana

  • Venue:
  • WSC '85 Proceedings of the 17th conference on Winter simulation
  • Year:
  • 1985

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Abstract

This paper develops a three-stage procedure for validating the use of the Schruben-Margolin correlation Induction strategy together with the follow-up analysis of Nozarl, Arnold, and Pegden in a simulation experiment designed to estimate a general linear model for the simulation response. Each stage of the procedure tests a key assumption about the behavior of the response across all points in the design. The first stage tests for multivariate normality, the second stage tests for the induced covariance structure postulated by Schruben and Margolin, and the third stage tests for the adequacy of the proposed linear model. Because the test in each stage presupposes the properties tested in previous stages, these diagnostic checks on the experimental design and analysis must be performed in the indicated order.