| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1155319 | Statistics & Probability Letters | 2006 | 8 Pages |
Abstract
In this paper, we study the kernel conditional quantile estimation for censored data and a uniform strong convergence rate of the resulting estimator is established. The rate obtained here is the same as that for uncensored case.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Elias Ould-Saı¨d,