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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

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

Author Community:

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

Reprint Author's Address:

  • 薛留根

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

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Source :

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

Year: 2008

Page: 865-868

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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