Robust Multiple Comparisons Under Common Random Numbers

Barry L. Nelson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


In this article we show how a result used in the analysis of repeated-measures experiments can aid in the analysis of simulation experiments that employ common random numbers. We specifically consider the statistical procedure known as multiple comparisons with the best. We first establish when the proposed procedure provides exact inference, and then show that it is typically robust when it is not exact. The method is easy to apply m practice.

Original languageEnglish (US)
Pages (from-to)225-243
Number of pages19
JournalACM Transactions on Modeling and Computer Simulation (TOMACS)
Issue number3
StatePublished - Jan 7 1993


  • common random numbers
  • computer simulation
  • multiple-comparison procedures
  • statistics
  • variance reduction

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications


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