• DocumentCode
    1740967
  • Title

    Simulation from non-standard distributions using envelope methods

  • Author

    Evans, Michael J. ; Swartz, Tim B.

  • Author_Institution
    Dept. of Stat., Toronto Univ., Ont., Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    572
  • Abstract
    This paper considers the development of envelope methods as a tool for simulation. Envelope methods are based on the construction of simple envelopes to functions. The proposed envelopes are general, require little input from the user and are based on the concavity structure of the function or some transformation of the function. The construction of these envelopes facilitates variate generation using the adaptive rejection algorithm
  • Keywords
    simulation; stochastic processes; adaptive rejection algorithm; concavity structure; envelope methods; non-standard distributions simulation; variate generation; Ear; Higher order statistics; Integral equations; Mathematics; Packaging; Statistical distributions; Stochastic systems; Tail; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2000. Proceedings. Winter
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-6579-8
  • Type

    conf

  • DOI
    10.1109/WSC.2000.899765
  • Filename
    899765