带有层套关系因子变量的协方差分析模型在实际应用中有广泛的适应性。
The covariate analysis model with some nested factors is widely used in practical problem.
线性模型是一类很重要的统计模型，它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。
Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.
线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
结果：采用混合线性模型协方差分析发现，与婴幼儿生长密切相关的主要因素为月龄、是否SGA、性别和出生体重；
Results:Mixed linear models statistical method revealed that the main factors of child growth were age, SGA or not, gender and birth weight.
提出了教学效率的协方差分析分析模型，介绍了模型的参数估计及假设检验的计算公式和方法。
The paper puts forward covariance analysis model about teaching efficiency, introduces some calculation functions and methods on the point estimation and testing hypothesis about the model.
结论：在协方差分析中使用哑变量使对模型的理解变的简单，在方差分析中使用哑变量使得可以从回归的角度来理解模型。
Conclusion: It is easy to understand the analysis of covariance and analysis of variance can also be considered in regression analysis setting by defining appropriate dummy variables.
结果将GLM简化成适用于回归分析、方差和协方差分析、多水平模型等具体的统计模型。
Results to simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...
结果将GLM简化成适用于回归分析、方差和协方差分析、多水平模型等具体的统计模型。
Results to simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...
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