随机效应估计和它的可信区间会提出这样一个问题，“平均效应是什么？”
The random effects estimate and its confidence interval address the question 'what is the average treatment effect?
当答案不一致时，在任何一个被研究的总体中，随机效应估计也许不能反应真正的效应。
When the answers do not coincide, the random effects estimate may not reflect the actual effect in any particular population being studied.
文章基于面板数据，利用固定效应估计法和随机效应估计法，对我国在1999年至2002年间农业信贷的绩效作出实证研究。
Based on panel data, the fixed effects model and the random effects model are used to estimate the performance of agriculture loan in the period from 1999 to 2002 in China.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
方差组分估计所用的模型为奶牛育种中常用的公畜模型，它包括场年季固定效应、公牛组固定效应和公牛随机效应。
The model used was the sire model containing herd-year-season(HYS) effect(fixed), sire group effect(fixed)and sire effect(random), which is widely used in dairy cattle breeding.
结果通过固定效应与随机效应及对协方差矩阵的估计，使重复测量数据得以合理的分析。
Results Repeated measurement obtained reasonable results by the fixed and random effects along with efficient estimate of covariance matrix.
方法通过两水平随机系数模型以及顺序效应的拟合，估计处理效应的大小及其在个体间的变异。
Methods Fitting two-level random coefficient model and sequence effect to estimate the treatment effect and its variation between individuals.
利用随机效应模型来估计相对危险度。
The summary relative risks (RRs) were estimated by the random effects model.
随机效应的Meta分析模型涉及这样一个假定，在各个研究中的被估计效应是不一样的，但遵循某种分布。
A random effects meta-analysis model involves an assumption that the effects being estimated in the different studies are not identical, but follow some distribution.
将线性混合模型中随机效应的协方差阵推广为正定阵，运用方差分析估计的方法给出了方差分量的估计。
In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.
将线性混合模型中随机效应的协方差阵推广为正定阵，运用方差分析估计的方法给出了方差分量的估计。
In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.
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