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作者:

Li, Zhiqiang (Li, Zhiqiang.) | Xue, Liugen (Xue, Liugen.) (学者:薛留根)

收录:

CPCI-S

摘要:

e are considering estimation in a generalized varying coefficient partially linear model for clustered data using generalized estimating equations. This article is proposing an EM algorithm technique to estimate the parametric component and the nonparametric coefficient function. From simulation we can see clearly that. in order to get the general consistent estimator of the parametric part. we need not undersmoothing the nonparametric part.. Unlike other method in estimating the parameter and the nonoparametric coefficient function, the optimal bandwidth for the model is similar to nonparametric model. so the method of leaving-one-cluster-out cross-validation could be directly used in selecting bandwidth.

关键词:

clustered data generalized estimating equation generalized varying coefficient local linear estimation quasi-likelihood

作者机构:

  • [ 1 ] [Xue, Liugen]Beijing Univ Technol, Beijing 100022, Peoples R China

通讯作者信息:

  • 薛留根

    [Xue, Liugen]Beijing Univ Technol, Beijing 100022, Peoples R China

电子邮件地址:

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来源 :

PROCEEDINGS OF THE 6TH CONFERENCE OF BIOMATHEMATICS, VOLS I AND II: ADVANCES ON BIOMATHEMATICS

年份: 2008

页码: 865-868

语种: 英文

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WoS核心集被引频次: 0

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