Generalized linear mixed models: An improved estimating procedure

doi:10.1007/978-3-642-57678-2_49

科研成果详情

题名	Generalized linear mixed models: An improved estimating procedure
作者	Pan, Jianxin1 ; Thompson, Robin 2
发表日期	2000
会议名称	Computational Statistics 14th Symposium
会议录名称	COMPSTAT-Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000
ISBN	9783790813265
页码	373-378
会议日期	21-25 August 2000
会议地点	Utrecht University, Netherlands
摘要	The analytically intractable integrated-likelihood in the generalized linear mixed models (GLMM) is approximated in terms of Gauss-Hermite (GH) quadrature. Maximizing the approximated likelihood leads to an improvement over the existing penalized quasi-likelihood (PQL) estimation. The bias caused by the PQL estimation can be eliminated by adding GH quadrature nodes.
关键词	Gauss-Hermite quadrature Generalized linear mixed models Penalized quasi-likelihood estimates
DOI	10.1007/978-3-642-57678-2_49
URL	查看来源
语种	英语English
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/5788
专题	个人在本单位外知识产出
作者单位	1.Centre for Medical Statistics, Department of MathematicsKeele UniversityStaffordshireUK 2.Statistics Department, IACR-Rothamsted, Harpenden, Hertfordshire, UK
推荐引用方式 GB/T 7714	Pan, Jianxin,Thompson, Robin. Generalized linear mixed models: An improved estimating procedure[C], 2000: 373-378.