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A class of estimators of the mean survival time from interval censored data with application to linear regression
A class of estimators of the mean survival time with interval censored data are studied by unbiased transformation method. The estimators are constructed based on the observations to ensure unbiasedness in the sense that the estimators in a certain class have the same expectation as the mean surviva...
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Published in: | Applied Mathematics-A Journal of Chinese Universities 2008-12, Vol.23 (4), p.377-390 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A class of estimators of the mean survival time with interval censored data are studied by unbiased transformation method. The estimators are constructed based on the observations to ensure unbiasedness in the sense that the estimators in a certain class have the same expectation as the mean survival time. The estimators have good properties such as strong consistency (with the rate of
O
(
n
−1/2
(log log
n
)
1/2
)) and asymptotic normality. The application to linear regression is considered and the simulation reports are given. |
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ISSN: | 1005-1031 1993-0445 |
DOI: | 10.1007/s11766-008-1827-z |