Bahadur representation of the kernel quantile estimator under truncated and censored data
β Scribed by Sun Liuquan; Zheng Zhongguo
- Book ID
- 110611730
- Publisher
- Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
- Year
- 1999
- Tongue
- English
- Weight
- 530 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0168-9673
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper, a representation due to Major and RejtΓΆ for the Kaplan-Meier estimator is applied to establish a Bahadur representation for the kernel quantile estimator under random censorship. Comparing it with the product-limit quantile estimator, the convergence rate of the remainder term is subs
In this paper we consider the TJW product-limit estimator F n (x) of an unknown distribution function F when the data are subject to random left truncation and right censorship. An almost sure representation of PL-estimator F n (x) is derived with an improved error bound under some weaker assumption