Title: Selecting a good system: procedures and inference
Abstract: Abstract We present two-stage experiment designs for use in simulation experiments that compare systems in terms of their expected (long-run average) performance. These procedures simultaneously achieve the following with a prespecified probability of being correct: (i) find the best system or a near-best system; (ii) identify a subset of systems that are more than a practically insignificant difference from the best; and (iii) provide a lower confidence bound on the probability that the best or near-best system will be selected. All of the procedures assume normally distributed data, but versions allow unequal variances and common random numbers. Additional informationNotes on contributorsBARRY L. NELSON Corresponding author
Publication Year: 2001
Publication Date: 2001-03-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 26
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