• DocumentCode
    2229569
  • Title

    Kriging model with modified nugget effect for random simulation with heterogeneous variances

  • Author

    Yin, J. ; Ng, S.H. ; Ng, K.M.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1714
  • Lastpage
    1718
  • Abstract
    Random simulation with heterogeneous variance is a common phenomenon in real-world simulation cases. Most of the current meta-models assume homogeneous variances and hence are unable to provide satisfactory estimations of these models. This article presents a new kriging model with modified nugget effect, which accounts for heterogeneous variances in simulations. The new model can reduce the influence of noise with heterogeneous variance by incorporating local variance information into the model. A theoretical explanation and numerical experiment will be shown to provide clear illustration of this new modified model.
  • Keywords
    simulation; statistical analysis; Kriging model; heterogeneous variances; nugget effect; Computational modeling; Large-scale systems; Maximum likelihood estimation; Measurement errors; Noise reduction; Predictive models; Random processes; Signal processing; Stochastic processes; Systems engineering and theory; heterogeneous variance; kriging; nugget effect; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738165
  • Filename
    4738165