• DocumentCode
    1802628
  • Title

    Simulation-Based Response Surface Computation in the Presence of Monotonicity

  • Author

    Lim, Eunji ; Glynn, Peter W.

  • Author_Institution
    Dept. of Manage. Sci. & Eng., Stanford Univ., CT
  • fYear
    2006
  • fDate
    3-6 Dec. 2006
  • Firstpage
    264
  • Lastpage
    271
  • Abstract
    In many stochastic models, it is known that the response surface corresponding to a particular performance measure is monotone in the underlying parameter. For example, the steady-state mean waiting time for customers in a single server queue is known to be monotone in the service rate. In other contexts, the simulator may believe, on the basis of intuition, that the response surface is monotone. This paper describes an appropriate methodology for incorporating such monotonicity constraints into one´s response surface estimator
  • Keywords
    Monte Carlo methods; response surface methodology; stochastic processes; monotonicity constraints; simulation-based response surface computation; single server queue; steady-state mean; stochastic models; Computational modeling; Context modeling; Engineering management; Monte Carlo methods; Particle measurements; Polynomials; Response surface methodology; Statistics; Steady-state; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2006. WSC 06. Proceedings of the Winter
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    1-4244-0500-9
  • Electronic_ISBN
    1-4244-0501-7
  • Type

    conf

  • DOI
    10.1109/WSC.2006.323082
  • Filename
    4117614