Selecting the best system in transient simulations with variances known

H. Damerdji, M. K. Nakayama, P. W. Glynn, J. R. Wilson

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

Selection of the best system among k different systems is investigated. This selection is based upon the results of finite-horizon simulations. Since the distribution of the output of a transient simulation is typically unknown, it follows that this problem is that of selection of the best population (best according to some measure) among k different populations, where observations within each population are independent, and identically distributed according to some general (unknown) distribution. In this work in progress, it is assumed that the population variances are known. A natural single-stage sampling procedure is presented. Under Bechhofer's indifference zone approach, this procedure is asymptotically valid.

Original languageEnglish (US)
Pages (from-to)281-286
Number of pages6
JournalWinter Simulation Conference Proceedings
DOIs
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 Winter Simulation Conference, WSC'96 - Coronado, CA, USA
Duration: Dec 8 1996Dec 11 1996

All Science Journal Classification (ASJC) codes

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

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