Nonparametric estimation of quantile density function

نویسندگان

  • Pooja Soni
  • Isha Dewan
  • Kanchan Jain
چکیده

In the present article, a new nonparametric estimator of quantile density function is defined and its asymptotic properties are studied. The comparison of the proposed estimator has been made with estimators given by Jones (1992), graphically and in terms of mean square errors for the uncensored and censored case.

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عنوان ژورنال:
  • Computational Statistics & Data Analysis

دوره 56  شماره 

صفحات  -

تاریخ انتشار 2012