目前,估计政策或某个项目的效果的前沿计量方法是处理效应模型 ( Treatment Effect Model ),但是,处理效应模型只适用于样本类型明确给定的情形。
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方法:用混合效应线性模型和单因素方差分析处理重复测量资料并比较。
Method: Make use of mixed effects linear model and single effect analysis of variance to deal with the repeated measure data.
在可交换条件下,当响应变量为多维时,利用结构回归模型研究总体平均处理效应的估计。
In this paper, on the basis of structural regression models the estimation of the population-averaged treatment effects is given when the response variable is a multi-dimensional vector.
针对经验模态分解过程存在的边界效应问题,提出了利用AR模型进行包络延拓的边界处理算法。
For the end effect in the process of empirical mode decomposition, the envelope extension algorithm by using AR model is proposed.
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