Name
Abstract | ||
|---|---|---|
In this paper we suggest a bias reducing technique in kerneldistribution function estimation. In fact, it uses a convex combination of three kernel estimators, and it turned out that the bias has been reduced to the fourth power of the bandwidth, while the bias of the kernel distribution function estimator has the second power of the bandwidth. Also, the variance of the proposed estimator remains at the same order as the kernel distribution function estimator. Numerical results based on simulation studies show this phenomenon, too. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s00180-006-0016-x | Computational Statistics |
Keywords | DocType | Volume |
simulation study,kerneldistribution function estimation,kernel distribution function estimation,kernel estimator,proposed estimator,bandwidth · bias · convex combination · kernel,numerical result,convex combination,kernel distribution function estimator,Bandwidth,Bias,Convex combination,Kernel | Journal | 21 |
Issue | ISSN | Citations |
3-4 | 0943-4062 | 1 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Choongrak Kim | 1 | 3 | 1.87 |
| Sungsoo Kim | 2 | 115 | 24.95 |
| Mira Park | 3 | 182 | 17.59 |
| Hakbae Lee | 4 | 6 | 1.46 |