• DocumentCode
    1558489
  • Title

    On the convergence rate of ordinal comparisons of random variables

  • Author

    Fu, Michael C. ; Jin, Xing

  • Author_Institution
    R. H. Smith Sch. of Bus., Maryland Univ., College Park, MD, USA
  • Volume
    46
  • Issue
    12
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    1950
  • Lastpage
    1954
  • Abstract
    The asymptotic exponential convergence rate of ordinal comparisons follows from well-known results in large deviations theory, where the critical condition is the existence of a finite moment generating function. In this note, we show that this is both a necessary and sufficient condition, and also show how one can recover the exponential convergence rate in cases where the moment generating function is not finite. In particular, by working with appropriately truncated versions of the original random variables, the exponential convergence rate can be recovered
  • Keywords
    convergence; random processes; asymptotic exponential convergence rate; finite moment generating function; large deviations theory; moment generating function; necessary and sufficient condition; ordinal comparisons; random variables; truncated variables; Convergence; Random variables; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.975498
  • Filename
    975498