• Title of article

    A note on efficient density estimators of convolutions

  • Author/Authors

    Bandyopadhyay، نويسنده , , Soutir Bandyopadhyay، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    5
  • From page
    3056
  • To page
    3060
  • Abstract
    It is already known that the convolution of a bounded density with itself can be estimated at the root-n rate using the two asymptotically equivalent kernel estimators: (i) Frees estimator (Frees, 1994) and (ii) Saavedra and Cao estimator (Saavedra and Cao, 2000). In this work, we investigate the efficiency of these estimators of the convolution of a bounded density. The efficiency criterion used in this work is that of a least dispersed regular estimator described in Begun et al. (1983). This concept is based on the Hájek–Le Cam convolution theorem for locally asymptotically normal (LAN) families.
  • Keywords
    Kernel Density , convolution , Locally asymptotically normal , Hellinger derivative
  • Journal title
    Journal of Statistical Planning and Inference
  • Serial Year
    2012
  • Journal title
    Journal of Statistical Planning and Inference
  • Record number

    2222150