具有随机效应的拟似然非线性模型的局部影响分析

IF 1 Q3 STATISTICS & PROBABILITY
Tian Xia, Jiancheng Jiang, Xuejun Jiang
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引用次数: 0

摘要

我们提出了一个具有随机效应的拟似然非线性模型,它是拟似然非线性建模和广义线性混合模型的混合扩展。它包括一大类现有模型作为示例。介绍了一种新的惩罚拟似然估计方法。基于拉普拉斯近似和惩罚的拟似然位移,研究了小扰动对所提出模型数据集的局部影响。在局部影响分析中考虑了四种具体的摄动方案。在药代动力学数据集上进行的一些数值检查表明了所提出方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local Influence Analysis for Quasi-Likelihood Nonlinear Models with Random Effects
We propose a quasi-likelihood nonlinear model with random effects, which is a hybrid extension of quasi-likelihood nonlinear models and generalized linear mixed models. It includes a wide class of existing models as examples. A novel penalized quasi-likelihood estimation method is introduced. Based on the Laplace approximation and a penalized quasi-likelihood displacement, local influence of minor perturbations on the data set is investigated for the proposed model. Four concrete perturbation schemes are considered in the local influence analysis. The effectiveness of the proposed methodology is illustrated by some numerical examinations on a pharmacokinetics dataset.
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来源期刊
Journal of Probability and Statistics
Journal of Probability and Statistics STATISTICS & PROBABILITY-
自引率
0.00%
发文量
14
审稿时长
18 weeks
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