Statistical screening, selection, and multiple comparison procedures in computer simulation

David Goldsman*, Barry L. Nelson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


We present a state-of-the-art review of screening, selection, and multiple-comparison procedures that are used to compare system designs via computer simulation. We describe methods for three broad classes of problems: screening a large number of system designs, selecting the best system, and comparing all systems to a standard (either known or unknown). We concentrate primarily on recent methods that we would be likely to use in practice. Where possible, we unify the screening, selection, and multiple-comparison perspectives.

Original languageEnglish (US)
Pages (from-to)159-166
Number of pages8
JournalWinter Simulation Conference Proceedings
StatePublished - Dec 1 1998

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality
  • Applied Mathematics
  • Modeling and Simulation


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