Nonparametric Quantile Inference for Cause-specific Residual Life Function Under Length-biased Sampling

• 作者: Fei-Peng ZHANG Cai-Yun FAN Yong ZHOU
• 来源期刊: 应用数学学报（英文版）
• 年，卷（期）: 2020,（4）
• 页码范围: 902-916
• 页数: 15页
• 语种: 英文

摘要

This paper considers a competing risks model for right-censored and length-biased survival data from prevalent sampling.We propose a nonparametric quantile inference procedure for cause-specific residual life distribution with competing risks data.We also derive the asymptotic properties of the proposed estimators of this quantile function.Simulation studies and the unemployment data demonstrate the practical utility of the methodology.