Chapter 15 Correlation-Based Methods for Output Analysis

David Goldsman*, Barry L. Nelson

*Corresponding author for this work

Research output: Contribution to journalReview article

6 Scopus citations

Abstract

We describe methods for estimating the variance of the sample mean of a steady-state simulation output process using correlation-based methods, all involving some form of "batching". Since no single method dominates all others across all measures of performance, we provide a framework for asymptotic comparison of such estimators. Research challenges are also identified.

Original languageEnglish (US)
Pages (from-to)455-475
Number of pages21
JournalHandbooks in Operations Research and Management Science
Volume13
Issue numberC
DOIs
StatePublished - Dec 1 2006

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ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics
  • Computer Science Applications
  • Management Science and Operations Research

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