中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Asymptotic normality in a semiparametric partially linear model with right-censored data

文献类型:期刊论文

作者Liang, H; Zhou, Y
刊名COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
出版日期1998
卷号27期号:12页码:2895-2907
关键词Kaplan-Meier estimator split-sample
ISSN号0361-0926
英文摘要The effect of incomplete observation characteristics in a semiparametric partially linear model is examined. To construct estimate of interest-in-parameter, synthetic data and generalized profile likelihood, are employed. It is shown that the resulting estimator is asymptotic normal under mild assumptions. Simulations are also presented to explain the behavior of the estimate in the case of small-samples.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000077485200002
出版者MARCEL DEKKER INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/13361]  
专题应用数学研究所
作者单位1.Acad Sinica, Inst Syst Sci, Beijing 100080, Peoples R China
2.Inst Stat & Econometr, D-10178 Berlin, Germany
3.Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Liang, H,Zhou, Y. Asymptotic normality in a semiparametric partially linear model with right-censored data[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,1998,27(12):2895-2907.
APA Liang, H,&Zhou, Y.(1998).Asymptotic normality in a semiparametric partially linear model with right-censored data.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,27(12),2895-2907.
MLA Liang, H,et al."Asymptotic normality in a semiparametric partially linear model with right-censored data".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 27.12(1998):2895-2907.

入库方式: OAI收割

来源:数学与系统科学研究院

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