DocumentCode :
239094
Title :
Measuring the initial transient: Reflected Brownian motion
Author :
Wang, Rob J. ; Glynn, Peter W.
Author_Institution :
Dept. of Manage. Sci. & Eng., Stanford Univ., Stanford, CA, USA
fYear :
2014
fDate :
7-10 Dec. 2014
Firstpage :
652
Lastpage :
661
Abstract :
We analyze the convergence to equilibrium of one-dimensional reflected Brownian motion (RBM) and compute a number of related initial transient formulae. These formulae are of interest as approximations to the initial transient for queueing systems in heavy traffic, and help us to identify settings in which initialization bias is significant. We conclude with a discussion of mean square error for RBM. Our analysis supports the view that initial transient effects for RBM and related models are typically of modest size relative to the intrinsic stochastic variability, unless one chooses an especially poor initialization.
Keywords :
Brownian motion; approximation theory; mean square error methods; queueing theory; RBM equilibrium; approximation; initial transient problem; initialization bias; intrinsic stochastic variability; mean square error; one-dimensional reflected Brownian motion; queueing system; Approximation methods; Convergence; Eigenvalues and eigenfunctions; Markov processes; Mathematical model; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2014 Winter
Conference_Location :
Savanah, GA
Print_ISBN :
978-1-4799-7484-9
Type :
conf
DOI :
10.1109/WSC.2014.7019929
Filename :
7019929
Link To Document :
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