Statistical selection of the best system

David Goldsman*, Barry L. Nelson

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations


This tutorial discusses some statistical procedures for selecting the best of a number of competing systems. The term "best" may refer to that simulated system having, say, the largest expected value or the greatest likelihood of yielding a large observation. We describe six procedures for finding the best, three of which assume that the underlying observations arise from competing normal distributions, and three of which are essentially nonparametric in nature. In each case; we comment on how to apply the above procedures for use in simulations.

Original languageEnglish (US)
Pages (from-to)139-146
Number of pages8
JournalWinter Simulation Conference Proceedings
StatePublished - Dec 1 2001
EventProceedings of the 2001 Winter Simulation Conference - Arlington, VA, United States
Duration: Dec 9 2001Dec 12 2001

ASJC Scopus subject areas

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


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