| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1151725 | Statistics & Probability Letters | 2014 | 7 Pages |
Abstract
For order qq kernel density estimators we show that the constant bqbq in bias=bqhq+o(hq)bias=bqhq+o(hq) can be made arbitrarily small, while keeping the variance bounded. A data-based selection of bqbq is presented and Monte Carlo simulations illustrate the advantages of the method.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Kairat T. Mynbaev, Saralees Nadarajah, Christopher S. Withers, Aziza S. Aipenova,