L1-deficiency of the Kaplan–Meier estimator
✍ Scribed by Mohamed Lemdani; Elias Ould-Saı̈d
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 230 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
A novel representation for the nonparametric maximum likelihood estimator (NPMLE) of the failure time distributions in the competing risks problem with right-censored data is derived. This representation shows that the NPMLE can be calculated by a Kaplan-Meier survival function for each failure type
In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common marginal distribution function, and inferences about it are of interest to us. The main result of this paper is that, under certain regularity conditions