Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1147101 | Journal of Multivariate Analysis | 2009 | 16 Pages |
Abstract
In this paper, some nonparametric approaches of density function estimation are developed when censoring indicators are missing at random. A conditional mean score based estimator and a mean score estimator are suggested, respectively. The two estimators are proved to be asymptotically normal and uniformly strongly consistent. The bandwidth selection problem is also discussed. A simulation study is conducted to compare finite-sample behaviors of the proposed estimators.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Qihua Wang, Wei Liu, Chunling Liu,