ESTIMATION OF THE SURVIVAL FUNCTION WITH INCREASING FAILURE RAT BASED ON LEFT TRUNCATED AND RIGHT CENSORED-DATA
成果类型：
Article
署名作者：
TSAI, WY
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336180
发表日期：
1988
页码：
319324
关键词：
摘要：
The maximum conditional likelihood estimator of the survival function with increasing hazard rate is derived, based on left truncated and right censored data. This estimator always exists, whereas the fully nonparametric conditional maximum likelihood estimator may not exist. A strong consistency theorem is established based on the total time on test transformation.