中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A k-sample test with interval censored data

文献类型:期刊论文

作者Yuen, Kam-Chuen; Shi, Jian; Zhu, Lixing
刊名BIOMETRIKA
出版日期2006-06-01
卷号93期号:2页码:315-328
关键词goodness of fit interval censoring iterative convex minorant algorithm leveraged bootstrap nonparametric maximum likelihood
ISSN号0006-3444
英文摘要The problem of testing for the equality of k distribution functions under Case 2 interval censoring is studied and a supremum-type test statistic is proposed based on the differences between the nonparametric maximum likelihood estimator and the so-called leveraged bootstrap estimator of the k underlying distributions. The proposed test is distributionfree and consistent against all alternatives. As the main results hold for a wide range of resampling sizes, a data-driven method is suggested for determining the size of each leveraged bootstrap sample. Another advantage of the test is that it can detect different distributions with equal means or heavy crossover. Simulation studies indicate that the test performs quite well with a moderate sample size. Finally, a slightly modified version of the test is applied to breast cosmesis data.
WOS研究方向Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
语种英语
WOS记录号WOS:000238760600007
出版者OXFORD UNIV PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/2399]  
专题系统科学研究所
通讯作者Yuen, Kam-Chuen
作者单位1.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
3.Hong Kong Baptist Univ, Dept Math, Hong Kong, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Yuen, Kam-Chuen,Shi, Jian,Zhu, Lixing. A k-sample test with interval censored data[J]. BIOMETRIKA,2006,93(2):315-328.
APA Yuen, Kam-Chuen,Shi, Jian,&Zhu, Lixing.(2006).A k-sample test with interval censored data.BIOMETRIKA,93(2),315-328.
MLA Yuen, Kam-Chuen,et al."A k-sample test with interval censored data".BIOMETRIKA 93.2(2006):315-328.

入库方式: OAI收割

来源:数学与系统科学研究院

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