On the asymptotic validity of fully sequential selection procedures for steady-state simulation

Seong Hee Kim; Barry L. Nelson

doi:10.1287/opre.1060.0281

On the asymptotic validity of fully sequential selection procedures for steady-state simulation

Seong Hee Kim^*, Barry L. Nelson

^*Corresponding author for this work

Industrial Engineering and Management Sciences

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

Abstract

We present fully sequential procedures for steady-state simulation that are designed to select the best of a finite number of simulated systems when "best" is defined by the largest or smallest long-run average performance. We also provide a framework for establishing the asymptotic validity of such procedures and prove the validity of our procedures. An example based on the M/M/1 queue is given.

Original language	English (US)
Pages (from-to)	475-488
Number of pages	14
Journal	Operations Research
Volume	54
Issue number	3
DOIs	https://doi.org/10.1287/opre.1060.0281
State	Published - May 2006

Keywords

Simulation: ranking and selection
Steady-state simulation

ASJC Scopus subject areas

Computer Science Applications
Management Science and Operations Research

Access to Document

10.1287/opre.1060.0281

Cite this

@article{5cd37be7dbae4e37958ca7d96dcea975,

title = "On the asymptotic validity of fully sequential selection procedures for steady-state simulation",

abstract = "We present fully sequential procedures for steady-state simulation that are designed to select the best of a finite number of simulated systems when {"}best{"} is defined by the largest or smallest long-run average performance. We also provide a framework for establishing the asymptotic validity of such procedures and prove the validity of our procedures. An example based on the M/M/1 queue is given.",

keywords = "Simulation: ranking and selection, Steady-state simulation",

author = "Kim, {Seong Hee} and Nelson, {Barry L.}",

year = "2006",

month = may,

doi = "10.1287/opre.1060.0281",

language = "English (US)",

volume = "54",

pages = "475--488",

journal = "Operations Research",

issn = "0030-364X",

publisher = "INFORMS Inst.for Operations Res.and the Management Sciences",

number = "3",

}

TY - JOUR

T1 - On the asymptotic validity of fully sequential selection procedures for steady-state simulation

AU - Kim, Seong Hee

AU - Nelson, Barry L.

PY - 2006/5

Y1 - 2006/5

N2 - We present fully sequential procedures for steady-state simulation that are designed to select the best of a finite number of simulated systems when "best" is defined by the largest or smallest long-run average performance. We also provide a framework for establishing the asymptotic validity of such procedures and prove the validity of our procedures. An example based on the M/M/1 queue is given.

AB - We present fully sequential procedures for steady-state simulation that are designed to select the best of a finite number of simulated systems when "best" is defined by the largest or smallest long-run average performance. We also provide a framework for establishing the asymptotic validity of such procedures and prove the validity of our procedures. An example based on the M/M/1 queue is given.

KW - Simulation: ranking and selection

KW - Steady-state simulation

UR - http://www.scopus.com/inward/record.url?scp=33744788406&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33744788406&partnerID=8YFLogxK

U2 - 10.1287/opre.1060.0281

DO - 10.1287/opre.1060.0281

M3 - Article

AN - SCOPUS:33744788406

SN - 0030-364X

VL - 54

SP - 475

EP - 488

JO - Operations Research

JF - Operations Research

IS - 3

ER -

On the asymptotic validity of fully sequential selection procedures for steady-state simulation

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this