Combined ranking and selection with control variates

Shing Chih Tsai, Barry L. Nelson

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

1 Citation (Scopus)


Nelson and Staum derived R&S procedures that employ control-variate estimators (CVs) instead of sample means to obtain more statistical efficiency. However, control-variate estimators require more computational effort than sample means, and effective controls must be identified. We present a new CV screening procedure to avoid much of the computation cost. We also present a two-stage CV combined procedure which captures the ability to eliminate inferior systems in the first stage and the statistical efficiency of control variates for selection in the second stage. An empirical evaluation is provided.

Original languageEnglish
Title of host publicationProceedings of the 2006 Winter Simulation Conference, WSC
Number of pages8
Publication statusPublished - 2006 Dec 1
Event2006 Winter Simulation Conference, WSC - Monterey, CA, United States
Duration: 2006 Dec 32006 Dec 6

Publication series

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


Other2006 Winter Simulation Conference, WSC
Country/TerritoryUnited States
CityMonterey, CA

All Science Journal Classification (ASJC) codes

  • Software
  • Modelling and Simulation
  • Computer Science Applications


Dive into the research topics of 'Combined ranking and selection with control variates'. Together they form a unique fingerprint.

Cite this