| 指数族非线性混合效应模型基于$Q$函数的数据删除度量 |
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| 引用本文： | 冯予.指数族非线性混合效应模型基于$Q$函数的数据删除度量[J].应用概率统计,2006,22(4):365-380. |
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| 作者姓名： | 冯予 |
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| 作者单位： | 南京理工大学理学院,南京,210094 |
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| 摘 要： | 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\bd 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\bd 一个实际例子说明我们方法是有效的
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| 关 键 词： | 数据删除度量 指数族非线性随机效应模型 EM算法 $Q$函数 |
| 收稿时间： | 2003-02-14 |
| 修稿时间： | 2003年2月14日 |
Case-Deletion Measure Based on $Q$-Function for Exponential Family Nonlinear Mixed Models |
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| FENG YU.Case-Deletion Measure Based on $Q$-Function for Exponential Family Nonlinear Mixed Models[J].Chinese Journal of Applied Probability and Statisties,2006,22(4):365-380. |
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| Authors: | FENG YU |
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| Institution: | College of Mathematics and Statistics, Northwest Normal University, Lanzhou, 730070, China |
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| Abstract: | Based on Q-function introduced by Zhu & Lee(2001),this paper proposes some case- deletion 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. |
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| Keywords: | Case-deletion measure exponential family nonlinear mixed model EM algorithm Q-function |
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