THE STRONG LAW FOR THE P-L ESTIMATE IN THE LEFT TRUNCATED AND RIGHT CENSORED MODEL (I)

Citation:

He Shuyuan.THE STRONG LAW FOR THE P-L ESTIMATE IN THE LEFT TRUNCATED AND RIGHT CENSORED MODEL (I)[J].Chinese Annals of Mathematics B,1998,19(3):341~348
Page view: 960        Net amount: 753

Authors:

He Shuyuan;

Foundation:

Project supported by the National Natural Science Foundation of China.
Abstract: For the model with both left truncation and right censoring, suppose all the distributions are continuous. It is proved that the sampled cumulative hazard function $\Lambda_n$ and the product-limit estimate $F_n$ are strong consistent. For any nonnegative measurable $\phi$, the almost sure convergences of $\int \phi \,d\Lambda_n$ and $\int \phi \,dF_n$ to the true values $\int \phi \,d\Lambda$ and $\int \phi \,dF$ respectively are obtained. The strong consistency of the estimator for the truncation probability is proved.

Keywords:

Left truncation and right censoring, Product-limit estimate, Strong law of large numbers, Reversed supermartingale

Classification:

62G05, 60F15
Download PDF Full-Text

主管单位:国家教育部 主办单位:复旦大学 地址:220 Handan Road, Fudan University, Shanghai, China E-mail:edcam@fudan.edu.cn

本系统由北京勤云科技发展有限公司提供技术支持