DocumentCode :
3747027
Title :
Computational improvements in bootstrap ranking & selection procedures via multiple comparison with the best
Author :
Soonhui Lee;Barry L. Nelson
Author_Institution :
School of Business Administration, UNIST, Ulsan, REPUBLIC OF KOREA
fYear :
2015
Firstpage :
3758
Lastpage :
3767
Abstract :
General-purpose ranking and selection (R&S) procedures using bootstrapping were investigated by Lee and Nelson in WSC ´14; their work provides the seminal idea for this study. Here we present bootstrap R&S procedures that achieve significant computational savings by exploiting multiple comparison with the best inference. We establish the asymptotic probability of correct selection for the new procedures, and report some experiment results to illustrate small-sample performance, both in attained probability of correct selection and computational efficiency relative to the procedures in Lee and Nelson.
Keywords :
"Niobium","Computational modeling","Distribution functions","Upper bound","Moon","Business","Size measurement"
Publisher :
ieee
Conference_Titel :
Winter Simulation Conference (WSC), 2015
Electronic_ISBN :
1558-4305
Type :
conf
DOI :
10.1109/WSC.2015.7408533
Filename :
7408533
Link To Document :
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