方法：利用混合线性模型分析结果指标为定量资料的重复测量资料，通过参数和标准误的估计得出统计学结论。
Methods: the repeated measure data were analyzed with quantitative data by mixed linear Model and conclusions were drawn according to the parameter and standard error.
将广义线性混合模型应用于核心家系资料建立遗传方差分量模型，运用MCMC方法进行参数估计。
Methods We applied generalized linear mixed models for the nuclear family data to set up the genetic variance component model and estimated parameters using MCMC.
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.
方法利用线性混合效应模型对某医院医务人员职业紧张的影响因素进行分析。
Methods Factors that affected the occupational stress of doctors in a hospital were studied by means of linear mixed model.
模型参数用非线性规划的最优化方法进行估计，得到了计算液相当量混合系数的无因次回归方程。
The model parameters are estimated by the optimal method of nonlinear programming, and the equivalent mixing coefficient is regressed in a dimensionless equation.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
在传统基于线性光谱混合模型的光谱解译方法中，模型自身的不足以及在光谱解译过程中无关类别的参与都影响着解译效果。
In traditional spectral unmixing method based on linear spectral mixing model (LSMM), unmixing accuracy is deteriorated both by the deficiency of the model and the participation of unrelated classes.
目的探讨非线性混合效应模型在交叉试验等级资料中的应用，为临床试验交叉设计资料的正确分析提供方法学参考。
Objective To explore the application of nonlinear mixed models in ordered categorical data of cross-over trial analysis and hence provide methodology reference.
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.
方法将混合系数线性模型转化为广义线性模型，然后利用线性模型相应的方法。
Methods the linear model of mixed coefficient is turned into a generalized linear model, and the relevant methods of linear models is used.
方法：采用混合效应的一般线性模型和混合效应的广义线性模型。
METHODS: general linear models with mixed effects and generalized linear mixed models (GLMM) were adapted to investigate the difference between groups.
方法给出了混合线性模型拟合方法和实例分析。
Methods Mixed linear model was presented and an example of repeated measurements in single-sample was analyzed.
最后总结了目前几种常用的选址方法，并在这些理论的基础上，建立了非线性混合0-1规划类型的多配送中心选址模型。
Finally the paper sums up several methods commonly used at present. On the basis of these theories, this paper sets up a nonlinear mixed 0-1 programming model.
方法建立力学、热学有限元分析混合模型，利用非线性有限元分析软件ANSYS进行分析。
Methods the mechanical and thermal FE models were developed and analyzed respectively with the FE software ANSYS.
在使用混合像元线性分解基本模型的同时，也结合研究目标对其进行了改进与补充，效果令人满意，为中等植被覆盖区的专题信息的提取提供了一种方法。
Field survey and other information show that the practice of this paper can be adopted to extract thematic information for such areas with medium vegetation cover.
最后，利用验证数据对混合模型方法与传统的非线性回归模拟方法进行精度比较。
Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.
一类多时滞不确定非线性系统，基于模型的模糊控制和神经网络控制相结合的混合控制方法。
A mixed control method combining fuzzy model-based control and neural network control is presented for a class of uncertain nonlinear system with multiple time delays.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
目的：通过混合效应线性模型与单因素方差分析在重复测量资料中的应用比较，旨在说明两方法在处理重复测量资料时的应用特点。
According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.
目的：通过混合效应线性模型与单因素方差分析在重复测量资料中的应用比较，旨在说明两方法在处理重复测量资料时的应用特点。
According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.
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