NONPARAMETRIC EMPIRICAL BAYES GROWTH CURVE ANALYSIS

被引：13

作者：

ALTMAN, NS

CASELLA, G

机构：

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1995年 / 90卷 / 430期

关键词：

FUNCTIONAL DATA ANALYSIS; LINEAR SMOOTHER; LONGITUDINAL DATA; NONPARAMETRIC REGRESSION; SHRINKAGE ESTIMATION; STEIN ESTIMATION;

D O I：

10.2307/2291061

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：

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.

引用

页码：508 / 515

页数：8

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