• DocumentCode
    2178444
  • Title

    Monotonicity and stratification

  • Author

    Zhao, Gang ; Vakili, Pirooz

  • Author_Institution
    Div. of Syst. Eng., Boston Univ., Brookline, MA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    313
  • Lastpage
    319
  • Abstract
    In utilizing the technique of stratification, the user needs to first partition/stratify the sample space; the next task is to determine how to allocate samples to strata. How to best perform the second task is well understood and analyzed and there are effective and generic recipes for sample allocation. Performing the first task, on the other hand, is generally left to the user who has limited guidelines at her/his disposal. We review explicit and implicit stratification approaches considered in the literature and discuss their relevance to simulation studies. We then discuss the different ways in which monotonicity plays a role in optimal stratification.
  • Keywords
    digital simulation; monotonicity; sample allocation; simulation studies; stratification; Analytical models; Context modeling; Frequency; Guidelines; Mechanical engineering; Performance analysis; Remuneration; Sampling methods; State estimation; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736083
  • Filename
    4736083