Asymptotic theory for estimators under random censorship
β Scribed by Gutti Jogesh Babu
- Publisher
- Springer
- Year
- 1991
- Tongue
- English
- Weight
- 614 KB
- Volume
- 90
- Category
- Article
- ISSN
- 1432-2064
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We use U-statistic-type processes to detect a possible change in the distribution of the observations under random censorship. We obtain weighted approximations for the U-statistic-type processes in case of symmetric as well as antisyrnmetric kernels. Several limit theorems are derived under the 'no
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
Consider the linear models of the form Y=X { ;+= with the response Y censored randomly on the right and X measured erroneously. Without specifying any error models, in this paper, a semiparametric method is applied to the estimation of the parametric vector ; with the help of proper validation data.