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随机设计非线性混合模型的统计分析
引用本文:房云,武萍,朱力行.随机设计非线性混合模型的统计分析[J].应用概率统计,2009,25(3):327-336.
作者姓名:房云  武萍  朱力行
作者单位:1. 华东师范大学金融与统计学院,上海,200241
2. 华东师范大学金融与统计学院,上海,200241;香港浸会大学数学系,香港
基金项目:国家自然科学基金,上海教育厅资助项目
摘    要:本文研究了个体观察次数为随机的非线性 混合效应模型中参数的点估计以及区间估计. 在仅给出适当的矩条件下, 给出了固定效应、随机效应的方差阵以及误差方差的矩估计, 并证明了估计量的相合性及渐近正态性. 为给出误差方差以及随机效应方差分量的置信区间, 本文也给出了误差及随机效应的四阶矩估计. 随机模拟说明了方法的有效性.

关 键 词:点估计  区间估计  相合性  渐近正态性  非线性混合效应模型.

Statistical Analysis for Nonlinear Mixed Models with Random Design
Fang Yun,Wu Ping,Zhu Lixing.Statistical Analysis for Nonlinear Mixed Models with Random Design[J].Chinese Journal of Applied Probability and Statisties,2009,25(3):327-336.
Authors:Fang Yun  Wu Ping  Zhu Lixing
Institution:School of Finance and Statistics,East China Normal University; School of Finance and Statistics,East China Normal University,
Abstract:In this paper, we study point estimation and confidence interval construction for the parameters of interest in nonlinear mixed effects models with random times of repeated measurements for subjects. Under only moment conditions, we define the moment estimators of the fixed effects, the covariance matrix ofthe random effects and the variance of the errors. The consistency and asymptotic normality of the estimators are obtained. To construct confidence intervals of the variances of the error and the random effects, we also estimate the fourth moments of the random effects and the errors. For illustrating the effect of our method, a simulation study is given.
Keywords:Point estimation  confidence interval  asymptotic normality  strong consistency  nonlinear mixed effects models
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