| 纵向数据混合效应模型的Bayes局部影响 |
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| 引用本文： | 朱连华,门可佩,徐志勇.纵向数据混合效应模型的Bayes局部影响[J].南京气象学院学报,2008,31(6):883-889. |
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| 作者姓名： | 朱连华 门可佩 徐志勇 |
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| 作者单位： | 1. 南京信息工程大学,气象灾害省部共建教育部重点实验室,江苏,南京,210044
2. 南京信息工程大学,数理学院,江苏,南京,210044 |
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| 基金项目： | 南京信息工程大学教研基金 |
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| 摘 要： | 基于分层先验思想,研究了适应于纵向数据的混合效应模型的Bayes局部影响,并根据纵向数据既包含个体又包含个体不同状态的特点,提出了两种便于合理分析数据的扰动方案,导出模型在上述各种扰动下效应参数的Bayes局部影响度量,最后给出实例。
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| 关 键 词： | 纵向数据 混合效应模型 扰动模式 Bayes局部影响 |
Bayesian Local Influence of Mixed-Effects Model for Longitudinal Data |
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| ZHU Lian-hua,MEN Ke-pei,XU Zhi-yong.Bayesian Local Influence of Mixed-Effects Model for Longitudinal Data[J].Journal of Nanjing Institute of Meteorology,2008,31(6):883-889. |
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| Authors: | ZHU Lian-hua MEN Ke-pei XU Zhi-yong |
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| Institution: | ZHU Lian-hua ,MEN Ke-pei, XU Zhi-yong ( 1. Key Laboratory of Meteorological Disaster of Ministry of Education;2. School of Mathematics and Physics, NUIST, Nanjing 210044, China) |
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| Abstract: | Based on the hierarchical prior method, we study the Bayesian local influence of the mixed- effects model for longitudinal data. Two types of perturbation schemes are proposed based on the characteristics of longitudinal data which include both individuals and individual cases. The Bayesian local influential method and formulas of parameter estimates are provided under these perturbation schemes. An example is given for illustration. |
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| Keywords: | longitudinal data mixed-effects model perturbation scheme Bayesian local influence |
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