Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.
贝叶斯推理的模型和广义线性模型，加速寿命故障模式，Cox回归模型和分段指数模型。
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: general linear models with mixed effects and generalized linear mixed models (GLMM) were adapted to investigate the difference between groups.
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 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。
The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case.
建议的模型校正估计可以处理任何线性或非线性的工作模型，且在线性模型的情形下变为广义回归估计。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
The generalized model for kinematic adjustment, which includes various static and linear kinematic adjustment models, is introduced in the paper.
建立了包括各种静态平差模型和线性动态平差模型的动态平差概括模型，推导了其主要求解公式。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。
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