The Log-Logistic Regression Model Under Censoring Scheme

被引：0
|
作者：
Ribeiro-Reis, Lucas David [1 ]
机构：
[1] Univ Fed Pernambuco, Dept Estat, Recife, PE, Brazil
来源：
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY | 2023年 / 25卷 / 02期
关键词：
Log-logistic distribution; Log-logistic regression model; Median; Maximum likelihood; Censored data; Reliability analyses; FAMILY;
D O I：
10.1007/s11009-023-10039-w
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A regression model, based on the well-known log-logistic distribution is proposed. This model is parameterized in terms of the median of the distribution, through a link function. The regression model assumes the censored data structure. The unknown parameters are estimated by maximum likelihood. Monte Carlo simulations with censoring and application to real censored data show the good quality of the proposed regression model.
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页数：12
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