中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation of partial linear error-in-response models with validation data

文献类型:期刊论文

作者Wang, QH
刊名ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
出版日期2003-03-01
卷号55期号:1页码:21-39
关键词partial linear model validation data strong consistency asymptotic normality
ISSN号0020-3157
英文摘要In this paper, an estimation theory in partial linear model is developed when there is measurement error in the response and when validation data are available. A semiparametric method with the primary data is used to define two estimators for both the regression parameter and the nonparametric part using the least squares criterion with the help of validation data. The proposed estimators of the parameter are proved to be strongly consistent and asymptotically normal, and the estimators of the nonparametric part are also proved to be strongly consistent and weakly consistent with an optimal convergent rate. Then, the two estimators of the parameter are compared based on their empirical performances.
语种英语
WOS记录号WOS:000182153400003
出版者KLUWER ACADEMIC PUBL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/18749]  
专题应用数学研究所
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100080, Peoples R China
2.Heilongjiang Univ, Sch Sci, Harbin 150000, Peoples R China
推荐引用方式
GB/T 7714
Wang, QH. Estimation of partial linear error-in-response models with validation data[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,2003,55(1):21-39.
APA Wang, QH.(2003).Estimation of partial linear error-in-response models with validation data.ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,55(1),21-39.
MLA Wang, QH."Estimation of partial linear error-in-response models with validation data".ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 55.1(2003):21-39.

入库方式: OAI收割

来源:数学与系统科学研究院

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