Weighted composite quantile regression with censoring indicators missing at random

Autor: Jiang-Feng Wang, Wu-Xin Fu, Wei-Jun Jiang, Fang-Yin Xu
Rok vydání: 2019
Předmět:
Zdroj: Communications in Statistics - Theory and Methods. 50:2900-2917
ISSN: 1532-415X
0361-0926
DOI: 10.1080/03610926.2019.1678638
Popis: In this paper, we consider the weighted composite quantile regression for the linear model when the data are right censored and the censoring indicators are missing at random. The adaptive penalize...
Databáze: OpenAIRE
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