TITLE:
Composite Quantile Regression for Nonparametric Model with Random Censored Data
AUTHORS:
Rong Jiang, Weimin Qian
KEYWORDS:
Kaplan-Meier Estimator; Censored Data; Composite Quantile Regression; Kernel Estimator; Nonparametric Model
JOURNAL NAME:
Open Journal of Statistics,
Vol.3 No.2,
April
18,
2013
ABSTRACT:
The composite quantile regression should provide estimation
efficiency gain over a single quantile regression. In this paper, we extend
composite quantile regression to nonparametric model with random censored data.
The asymptotic normality of the proposed estimator is established. The proposed
methods are applied to the lung cancer data. Extensive simulations are
reported, showing that the proposed method works well in practical settings.