Fitting via alternative random-effect models

被引：0
作者：
Youngjo Lee
John A. Nelder
机构：
[1] Seoul National University,Department of Statistics
[2] Imperial College,undefined
来源：
Statistics and Computing | 2006年 / 16卷
关键词：
Random effect models; Correlated random effects; Restricted-maximum likelihood; Maximum-likelihood estimator; Hierarchical generalized linear models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
When there are two alternative random-effect models leading to the same marginal model, inferences from one model can be used for the other model. We illustrate how a likelihood method for fitting models with independent random effects can be applied to seemingly very different models with correlated random effects. We also discuss some merits of using these alternative models.
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页码：69 / 75
页数：6
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