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.
本文详细讨论了混合激励线性预测(MELP)的基音周期估计算法及其改进算法。
This paper discusses in detail the pitch detection algorithm of Mixed Excitation Linear Prediction (MELP) and an improved algorithm.
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.
第二部分引入双线性混合插值样条并给出误差估计。
The second part introduces an interpolation spline of bilinear blend, and gives the error estimate.
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.
用一般矩方法进行混合高斯随机敬的参数估计需要计算多个非线性方程，改进后的矩方法把非线性方程化成了线性方程。
It needs more nonlinear equations to use the general moment method for parameter estimation of Gaussian mixtures. The improved moment method changes the nonlinear equations into linear equations.
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.
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.
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