Generalized additive mixed models

被引：22

作者：

Chen, C ^{[1
]}

机构：

[1] SAS Inst Inc, Applicat Div R4117, Cary, NC 27513 USA

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2000年 / 29卷 / 5-6期

关键词：

linear mixed models; additive mixed models; generalized linear mixed models; backfitting; penalized marginal likelihood; smooth spline;

D O I：

10.1080/03610920008832543

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：

Following the extension from linear mixed models to additive mixed models, extension from generalized linear mixed models to generalized additive mixed models is made. Algorithms are developed to compute the MLE's of the nonlinear effects and the covariance structures based on the penalized marginal likelihood. Convergence of the algorithms and selection of the smooth parameters are discussed.

引用

页码：1257 / 1271

页数：15

共 8 条

[1] APPROXIMATE INFERENCE IN GENERALIZED LINEAR MIXED MODELS [J].