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On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation
by
Nelson, Barry L
, Kim, Seong-Hee
in
Analysis
/ Applied sciences
/ Asymptotic efficiencies (Statistics)
/ Asymptotic methods
/ Brownian motion
/ Consistent estimators
/ Estimators
/ Estimators for the mean
/ Exact sciences and technology
/ Infinity
/ Mathematical procedures
/ Operational research. Management science
/ Partial sums
/ ranking and selection
/ Selection
/ Simulation
/ Simulation methods
/ Statistical variance
/ Steady states
/ steady-state simulation
/ Studies
/ Traffic estimation
/ Validity
/ Variance analysis
2006
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On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation
by
Nelson, Barry L
, Kim, Seong-Hee
in
Analysis
/ Applied sciences
/ Asymptotic efficiencies (Statistics)
/ Asymptotic methods
/ Brownian motion
/ Consistent estimators
/ Estimators
/ Estimators for the mean
/ Exact sciences and technology
/ Infinity
/ Mathematical procedures
/ Operational research. Management science
/ Partial sums
/ ranking and selection
/ Selection
/ Simulation
/ Simulation methods
/ Statistical variance
/ Steady states
/ steady-state simulation
/ Studies
/ Traffic estimation
/ Validity
/ Variance analysis
2006
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Do you wish to request the book?
On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation
by
Nelson, Barry L
, Kim, Seong-Hee
in
Analysis
/ Applied sciences
/ Asymptotic efficiencies (Statistics)
/ Asymptotic methods
/ Brownian motion
/ Consistent estimators
/ Estimators
/ Estimators for the mean
/ Exact sciences and technology
/ Infinity
/ Mathematical procedures
/ Operational research. Management science
/ Partial sums
/ ranking and selection
/ Selection
/ Simulation
/ Simulation methods
/ Statistical variance
/ Steady states
/ steady-state simulation
/ Studies
/ Traffic estimation
/ Validity
/ Variance analysis
2006
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On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation
Journal Article
On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation
2006
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Overview
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.
Publisher
INFORMS,Institute for Operations Research and the Management Sciences
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