• 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