ASYMPTOTIC PROPERTIES OF SELF-CONSISTENT ESTIMATORS BASED ON DOUBLY CENSORED-DATA

• 成果类型: Article
• 署名作者: GU, MG; ZHANG, CH
• 署名单位: Rutgers University System; Rutgers University New Brunswick
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/aos/1176349140
• 发表日期: 1993
• 页码: 611-624
• 关键词: MAXIMUM-LIKELIHOOD ESTIMATORS; product-limit estimator; large sample; survival function

摘要

This paper concerns self-consistent estimators for survival functions based on doubly censored data. We establish strong uniform consistency, asymptotic normality and asymptotic efficiency of the estimators under mild conditions on the distributions of the censoring variables.