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Source Publication:STATISTICS & PROBABILITY LETTERS
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Copula-graphic estimators for the marginal survival function with censoring indicators missing at random
期刊论文
STATISTICS & PROBABILITY LETTERS, 2015, 卷号: 107, 页码: 101-110
Authors:
Liu, Yi
;
Wang, Qihua
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Submit date:2018/07/30
Archimedean copula
Dependent censoring
Survival function
Missing at random
The strong law under a semiparametric model for truncated and censored data
期刊论文
STATISTICS & PROBABILITY LETTERS, 2006, 卷号: 76, 期号: 14, 页码: 1550-1558
Authors:
Sun, Liuquan
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Submit date:2018/07/30
truncated and censored data
product-limit estimator
semiparametric estimation
strong law of large numbers
reverse supermartingale
Survival function and density estimation for truncated dependent data
期刊论文
STATISTICS & PROBABILITY LETTERS, 2001, 卷号: 52, 期号: 1, 页码: 47-57
Authors:
Sun, LQ
;
Zhou, X
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Submit date:2018/07/30
alpha-mixing
product-limit estimator
kernel density and hazard rate estimation
strong representation
A semiparametric model for truncated and censored data
期刊论文
STATISTICS & PROBABILITY LETTERS, 2000, 卷号: 48, 期号: 3, 页码: 217-227
Authors:
Sun, LQ
;
Zhu, LX
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Submit date:2018/07/30
truncated and censored data
product-limit estimator
maximum-likelihood estimation
functional central limit theorem
uniform consistency