Functional and longitudinal data analysis: Perspectives on smoothing

被引：0
|
作者：
Rice, JA [1 ]
机构：
[1] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
来源：
STATISTICA SINICA | 2004年 / 14卷 / 03期
关键词：
functional data analysis; longitudinal data analysis; nonparametric curve estimation;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The perspectives and methods of functional data analysis and longitudinal data analysis for smoothing are contrasted and compared. Topics include kernel methods and random effects models for smoothing, basis function methods, and examination of correlates of curve shapes. Some directions in which methodology might advance are identified.
引用
收藏
页码：631 / 647
页数：17
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