Understanding nonparametric estimation for clustered data

被引：3

作者：

Huggins, Richard ^{[1
]}

机构：

[1] Australian Natl Univ, Ctr Math & Appl, Canberra, ACT 0200, Australia

来源：

BIOMETRIKA | 2006年 / 93卷 / 02期

关键词：

clustered data; nonparametric estimation;

D O I：

10.1093/biomet/93.2.486

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this note we give an alternative formulation of the nonparametric estimators of Wang (2003) with the identity link. This results in a closed form of the estimator that has computational advantages and gives insight into the rationale behind the estimator.

引用

页码：486 / 489

页数：4

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