• DocumentCode
    547263
  • Title

    Asymptotic statistical analysis of pseudo random numbers

  • Author

    Wang, Alexandra L. ; Xu, Zhiguang ; Kicey, Charles J.

  • Author_Institution
    Lowndes High Sch., Valdosta, GA, USA
  • Volume
    2
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    542
  • Lastpage
    545
  • Abstract
    Computer simulation is a widely used powerful tool for solving real world problems. Pseudo random number plays an important role in computer simulation and modeling. It acts like the real random number. We discuss the asymptotic properties of pseudo random numbers as the period size of a random number generator approaches to infinity. Our results show that the pseudo random number converges to the true random number in mean, variance, skewness, kurtosis, moment, and distribution.
  • Keywords
    digital simulation; random number generation; statistical analysis; asymptotic statistical analysis; computer simulation; pseudorandom number; random number generator; real world problem solving; Computers; Manganese;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952528
  • Filename
    5952528