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Nonparametric Empirical Bayes Growth Curve Analysis

 

作者: N.S. Altman,   G. Casella,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1995）
卷期: Volume 90, issue 430  

页码: 508-515

 

ISSN:0162-1459

 

年代: 1995

 

DOI:10.1080/01621459.1995.10476542

 

出版商: Taylor & Francis Group

 

关键词: Functional data analysis;Linear smoother;Longitudinal data;Nonparametric regression;Shrinkage estimation;Stein estimation

 

数据来源: Taylor

 

摘要:

Nonparametric and semiparametric regression have been suggested as alternatives to parametric models for growth curve analysis. In this article we demonstrate that empirical Bayes estimation can be used to improve linear smoothing estimates when multiple curves are available.

 

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