| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 415806 | Computational Statistics & Data Analysis | 2012 | 11 Pages |
Abstract
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 cases.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Pooja Soni, Isha Dewan, Kanchan Jain,