指数族非线性混合效应模型基于Q函数的数据删除度量

摘要

Based on Q-function introduced by Zhu & Lee (2001), this paper proposes some casedeletion measures for assessing the influence of an observation in exponential family nonlinear mixed models. The key idea is to treat the random effects as hypothetical missing data and works with the conditional expectation of the complete-data log-likelihood in the EM algorithm.An example illustrates our method.%对指数族非线性混合效应模型,本文基于Q函数(朱宏图,2001)方法,给出几种度量数据删除影响的统计量.其主要思想是将随机效应视为缺失数据,并利用EM算法来处理完全数据对数似然函数的条件期望.一个实际例子说明我们方法是有效的.