Evaluating the probability of a good selection

Barry L Nelson*, Souvik Banerjee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We present a two-stage experiment design for use in simulation experiments that compare systems in terms of their expected (long-run average) performance. This procedure simultaneously achieves the following with a prespecified probability of being correct: (a) find the best system or a near best system; (b) identify a subset of systems that are more than a practically insignificant difference from the best; and (c) provide a lower bound on the probability that the best or near best system has actually been selected. The procedure assume normally distributed data, but allows unequal variances.

Original languageEnglish (US)
Pages (from-to)611-617
Number of pages7
JournalWinter Simulation Conference Proceedings
Volume1
StatePublished - Dec 1 1999

ASJC Scopus subject areas

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

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