两组差异分析采用线性混合模型分析法。
Group differences were analyzed using linear mixed models analysis.
概括线性混合模型。
非线性混合模型。
线性混合模型。
用DMUAI广义线性混合模型估计死胎、木乃伊的育种值，固定效应值，进一步估计遗传力。
Using generalized linear mixed model DMUAI estimated stillbirth and mummy's breeding values, values of fixed effects, and further estimated stillbirth and mummy's heritability.
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.
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.
对含两个方差分量的一般线性混合模型，我们给出其方差分量的改进估计，主要对组合谱分解估计进行改进。
We compare the spectral decomposition estimate by the analysis of variance estimate in the linear mixed model with two variance components.
相对线性混合模型分析法，方差分析法分析该试验时，依测验的效应不同会导致第一类或第二类统计错误率的增大。
Compared with the mixed linear model analysis, the analysis of variance could result in higher type I or II statistical error rates.
建立了面向供应链的多产品、多订单、多时段的订单任务分配的混合整数线性规划模型。
A mixed integer linear programming (MILP) model for orders dispatching in a supply chain with multi-product, multi-order, and multi-period was proposed.
建立了热轧无缝钢管主生产计划问题的混合整数线性规划模型。
The master production scheduling(MPS) problem of hot rolling seamless steel tube is formulated as a mixed integer linear programming model.
结果分析使用SASPROC MIXED模块进行线性混合效应模型分析。
Outcome analyses were carried out by fitting linear mixed models by using SAS PROC mixed.
本文从一个新的角度，刻划了一般的混合线性模型的一个最优性质。
In this paper, It is depicted an optimal property of general mixed linear models from a new Angle.
采用一般的线性混合效应模型研究手术和疾病前后对纵向认知曲线的影响。
The effect of surgery and illness on longitudinal cognitive course was analyzed using a general linear mixed effects model.
结论混合线性模型可以有效地、全面地分析单样本重复测量资料。
Conclusion Mixed linear model can be used to analyze repeated measurement data in single-sample.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
前言：目的：探讨混合线性模型在临床试验重复测量资料分析中的应用。
Objective: To explore the application of the mixed linear model in the repeated measures data of clinical trials.
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.
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.
以水源-水阱匹配关系为约束条件，建立了单杂质用水网络的混合整数线性规划模型。
The mixed integer linear programming model was established with the water source-sink matching as the constraint.
结果通过混合线性模型拟合，使单样本重复测量资料得以合理分析。
Results the reasonable results were obtained for repeated measurements in single-sample by the methods of mixed linear model.
线性混合效应模型在医学重复测量资料的数据分析与设计中广泛应用。
The linear mixed effects model in the data analysis and design of repeated measurements has been found an wide utilization in medical fields.
在建立光纤陀螺漂移与温度的混合线性回归模型时，考虑温度变化率和温度梯度等因素的影响，对光纤陀螺零位漂移的温度补偿精度更高。
So the compensation accuracy of FOG drift can be improved by introducing the temperature rate and its grads when establishing the mix linear regression model.
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.
考虑纵向数据的一般线性混合效应模型。
The linear mixed model for longitudinal data proposed by Laird and Ware is studied.
血脂和血压的变化模式通过比较运用随机系数线性混合效应模型得到的追踪观察期的梯度来评估。
Patterns of changes in lipids and BP were evaluated by comparing slopes over follow-up time using random coefficient linear mixed-effect models.
用高阶奇数多项式拟合非线性混合函数，建立非线性信号盲分离模型。
The model of nonlinear blind source separation(NBSS) is built which the nonlinear transfer function is simulate by the P-th order polynomial function.
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.
研究了带有约束的均值漂移和方差加权的混合非线性回归模型．得到了相应的一阶和二阶诊断统计量。
We study restriction of Nonlinear Regression Diagnostic Models with case-weights and meanshifte simultanously, and some new diagnostic statistics are derved.
研究了带有约束的均值漂移和方差加权的混合非线性回归模型．得到了相应的一阶和二阶诊断统计量。
We study restriction of Nonlinear Regression Diagnostic Models with case-weights and meanshifte simultanously, and some new diagnostic statistics are derved.
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