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Small sample study on estimators of life distributions and of mean survival times using randomly censored data

 

作者: Dong Hopark,   V Susarla,   J Van Ryzins,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1987)
卷期: Volume 16, issue 1  

页码: 221-232

 

ISSN:0361-0918

 

年代: 1987

 

DOI:10.1080/03610918708812587

 

出版商: Marcel Dekker, Inc.

 

关键词: Kaplan – Meier estimator;proportional hazard model;Bayes estimator;mean survival time

 

数据来源: Taylor

 

摘要:

Whereas large-sample properties of the estimators of survival distributions using censored data have been studied by many authors, exact results for small samples have been difficult to obtain. In this paper we obtain the exact expression for the ath moment (a > 0) of the Bayes estimator of survival distribution using the censored data under proportional hazard model. Using the exact expression we compute the exact mean, variance and MSE of the Bayes estimator. Also two estimators ofthe mean survival time based on the Kaplan-Meier estimator and the Bayes estimator are compared for small samples under proportional hazards.

 

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