Aa odds-ratio indifference-zone selection procedure for bernoulli populations

Jamie R. Wieland*, Barry L. Nelson

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


We present a new sequential, eliminating procedure for selecting the best system in a single-factor Bernoulli-response experiment with an odds-ratio indifference zone, where best refers to the system with the largest probability of success on any given trial. Analytical results show that the proposed procedure is more efficient than existing procedures in that it requires fewer observations to identify the best system when only two systems are being considered. Empirical results show that the procedure is more efficient for comparing up to five systems when the specified odds-ratio indifference zone is greater than two.

Original languageEnglish (US)
Pages (from-to)630-637
Number of pages8
JournalProceedings - Winter Simulation Conference
StatePublished - 2004
EventProceedings of the 2004 Winter Simulation Conference - Washington, DC, United States
Duration: Dec 5 2004Dec 8 2004

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Modeling and Simulation


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