Non parametric regression analysis for longitudinal data with time-depending autoregressive error process | |
Hang, Yin1; Liu, Shu2 | |
刊名 | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
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2018 | |
卷号 | 47期号:18页码:4503-4533 |
关键词 | Local linear estimator longitudinal model time-depending autoregressive error process two-stage estimator within-subject correlation structure |
ISSN号 | 0361-0926 |
DOI | 10.1080/03610926.2017.1377251 |
英文摘要 | This paper considers a non parametric longitudinal model, where the within-subject correlation structure is represented by a time-depending autoregressive error process. An initial estimator without taking into account the within-subject correlation is obtained to fit the time-depending autoregressive error process. With the initial estimator, we construct a two-stage local linear estimator of the mean function. According to the asymptotic normality of the initial and two-stage estimators, it is discovered that the two-stage estimator has a smaller asymptotic variance. The simulation results show us that the two-stage estimation has some good properties. The analysis of a data set demonstrates its application. |
WOS研究方向 | Mathematics |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS INC |
WOS记录号 | WOS:000436825300012 |
内容类型 | 期刊论文 |
源URL | [http://10.2.47.112/handle/2XS4QKH4/764] ![]() |
专题 | 上海财经大学 |
通讯作者 | Hang, Yin |
作者单位 | 1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China; 2.Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Hang, Yin,Liu, Shu. Non parametric regression analysis for longitudinal data with time-depending autoregressive error process[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2018,47(18):4503-4533. |
APA | Hang, Yin,&Liu, Shu.(2018).Non parametric regression analysis for longitudinal data with time-depending autoregressive error process.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,47(18),4503-4533. |
MLA | Hang, Yin,et al."Non parametric regression analysis for longitudinal data with time-depending autoregressive error process".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 47.18(2018):4503-4533. |
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