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.

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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.

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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.

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