• DocumentCode
    2178191
  • Title

    Comparing two systems: Beyond common random numbers

  • Author

    Ehrlichman, Samuel M T ; Henderson, Shane G.

  • Author_Institution
    Sch. of Oper. Res. & Inf. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    245
  • Lastpage
    251
  • Abstract
    Suppose one wishes to compare two closely related systems via stochastic simulation. Common random numbers (CRN) involves using the same streams of uniform random variates as inputs for both systems to sharpen the comparison. One can view CRN as a particular choice of copula that gives the joint distribution of the inputs of both systems. We discuss the possibility of using more general copulae, including simple examples that show how this can outperform CRN.
  • Keywords
    number theory; possibility theory; random processes; closely related systems; common random numbers; stochastic simulation; Computational modeling; Operations research; Random variables; Reactive power; Sampling methods; Stochastic processes; Stochastic systems;
  • 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.2008.4736074
  • Filename
    4736074