دورية أكاديمية

Quantile difference estimation with censoring indicators missing at random

التفاصيل البيبلوغرافية
العنوان: Quantile difference estimation with censoring indicators missing at random
المؤلفون: Cui-Juan Kong, Han-Ying Liang
المصدر: Springer, Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data. 30(2):345-382
سنة النشر: 2024
الوصف: In this paper, we define estimators of distribution functions when the data are right-censored and the censoring indicators are missing at random, and establish their strong representations and asymptotic normality. Besides, based on empirical likelihood method, we define maximum empirical likelihood estimators and smoothed log-empirical likelihood ratios of two-sample quantile difference in the presence and absence of auxiliary information, respectively, and prove their asymptotic distributions. Simulation study and real data analysis are conducted to investigate the finite sample behavior of the proposed methods.
نوع الوثيقة: redif-article
اللغة: English
DOI: 10.1007/s10985-023-09614
الإتاحة: https://ideas.repec.org/a/spr/lifeda/v30y2024i2d10.1007_s10985-023-09614-7.html
رقم الأكسشن: edsrep.a.spr.lifeda.v30y2024i2d10.1007.s10985.023.09614.7
قاعدة البيانات: RePEc
الوصف
DOI:10.1007/s10985-023-09614