• DocumentCode
    932845
  • Title

    Asymptotic mean integrated squared errors of some nonparametric density estimators (Corresp.)

  • Author

    Cheng, P.E. ; Serfling, R.J.

  • Volume
    27
  • Issue
    2
  • fYear
    1981
  • fDate
    3/1/1981 12:00:00 AM
  • Firstpage
    239
  • Lastpage
    242
  • Abstract
    For estimation of a probability density function f by an empirical function f_{n} ,, based on a sample of size n from f , a widely used performance measure is the mean integrated squared error. For the wellknown \\delta -function type of f_{n} , the asymptotic behavior of this measure is shown to be essentially unchanged if f_{n} is replaced by a recursive version. Also, this asymptotic behavior is characterized under somewhat milder smoothness restrictions but stronger tail restrictions than previously considered in the literature.
  • Keywords
    Nonparametric estimation; Autocorrelation; Circuits; Cutoff frequency; Density measurement; Noise generators; Probability density function; Sampling methods; Size measurement; Upper bound; White noise;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1981.1056313
  • Filename
    1056313