Response surface estimation and sensitivity analysis via efficient change of measure

Response surface estimation and sensitivity analysis via efficient change of measure

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Article ID: iaor19941229
Country: United States
Volume: 9
Issue: 3
Start Page Number: 313
End Page Number: 340
Publication Date: Jul 1993
Journal: Stochastic Models
Authors: ,
Keywords: queues: theory
Abstract:

Let l(v) be the performance (mean waiting time, mean sojourn time etc.) in a queueing model governed by a parameter v and vl(v) the associated sensitivity (gradient). Estimating l(v) and vl(v) by simulation, one may want to run the system for a different reference parameter v0 and apply the likelihood ratio-score function method. This paper addresses the question of how to choose v0. The resulting variance is calculated explicitly in the case of the performance l(v) in the M/M/1 queue, and simulation results are given for more general models and the sensitivity vl(v).

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