Statistical selection of the best system

David Goldsman*, Seong Hee Kim, Barry L. Nelson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 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 various procedures for finding the best, some of which assume that the underlying observations arise from competing normal distributions, and some 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)
Title of host publicationProceedings of the 2005 Winter Simulation Conference
Number of pages10
StatePublished - Dec 1 2005
Event2005 Winter Simulation Conference - Orlando, FL, United States
Duration: Dec 4 2005Dec 7 2005

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2005 Winter Simulation Conference
Country/TerritoryUnited States
CityOrlando, FL

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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