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