LME:线性混合效应
线性混合效应模型,在统计学和相关交叉学科中应用广泛,通常被缩写为LME,以方便日常书写和学术交流。该术语常用于涉及固定效应与随机效应混合的复杂数据分析场景,尤其适用于多层次或重复测量数据的研究,其核心含义即“线性混合效应”。
Linear Mixed Effects具体释义
Linear Mixed Effects的英文发音
例句
- Estimating and Checking for Linear Mixed Effects(LME) Models with Longitudinal Data
- 纵向数据中线性混合模型的估计与检验
- Nonparametric estimation for density of the random effects in the linear mixed effects model
- 线性混合效应(LME)模型中随机效应密度的非参数估计
- Although there exist many estimates of variance components in linear mixed effects models, only the spectral decomposition estimate ( SDE ) and analysis of variance estimate ( ANOVAE ) have closed form in the general case.
- 对于线性混合模型中方差分量的估计,虽有多种方法,但一般情况下只有方差分析估计和谱分解估计有显式解。
- Consider a kind of linear mixed effects model which was proposed by Tao et al ( 1999 ), the nonparametric estimator of the density of the random effects was established. It is shown that the estimator is an asymptotic unbiased estimator.
- 对于Tao等(1999)提出的一类线性混合效应(LME)模型,构造了随机效应密度的非参数估计,并证明了此估计量具有渐近无偏性。
- The linear mixed effects model in the data analysis and design of repeated measurements has been found an wide utilization in medical fields.
- 线性混合效应(LME)模型在医学重复测量资料的数据分析与设计中广泛应用。
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