| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1154319 | Statistics & Probability Letters | 2006 | 9 Pages |
Abstract
In this paper we study integrals for any nonnegative measurable functions with respect to semiparametric estimators of the survival function and the cumulative hazard function based on left truncated and right censored data. The strong law of large numbers for these integrals is given. The results are useful in establishing strong consistency of many estimators under the semiparametric model for truncated and censored data.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Liuquan Sun,