Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153412 | Statistics & Probability Letters | 2008 | 9 Pages |
Abstract
In a very interesting article, Zhang et al. [1999. An improved estimator of the density function at the boundary. J. Amer. Statist. Assoc. 448, 1231–1241] proposed a new method of boundary correction for kernel density estimation. Their technique is a kind of generalized reflection method involving reflecting a transformation of the data. In this paper, we present a modification to their estimator. We observe that this modification significantly improves the asymptotic bias and variance of their estimator.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
R.J. Karunamuni, S. Zhang,