1) Generalized Partially Linear Models
广义部分线性模型
3) Hierarchical generalized linear models
分层广义线性模型
4) separable generalized nonlinear models
可分的广义非线性模型
5) Generalized linear model
广义线性模型
1.
Asymptotics of maximum quasi-likelihood estimates in generalized linear models with adaptive designs;
自适应设计广义线性模型极大拟似然估计的渐近性
2.
Variable selection in generalized linear model;
广义线性模型中的变量选择
3.
Study on the parameters estimation of generalized linear model under the linear restriction;
广义线性模型在线性约束下的参数估计
6) general linear model
广义线性模型
1.
Methods EM algorithm was employed to solve the maximum likelihood estimation (MLE) of parameters of general linear model (GLM) based on Gamma distribution with interval data,then univariate and multivariate anal yses were applied to explore factors that infl.
方法 采用EM算法求解基于含区间数据Gamma分布的广义线性模型(GLM)参数的极大似然估计(MLE)。
2.
Statistical parametric mapping (SPM) depends on the general linear model(GLM) and the theory of Gaussian fields to some extent.
统计参数映射在某种程度上依赖于广义线性模型和高斯场理论。
3.
The discussion,shows that the new relative efficiency is very useful in case where we combine general linear model with principal analysis and canonical correla.
定义了广义线性模型中参数的最小二乘估计(LSE)与最佳线性无偏估计(BLUE)的一种新的相对效率,这种相对效率定义为参数估计量的协方差阵的最大相对特征根之比。
补充资料：广义
范围较宽的定义（跟‘狭义’相对）：～的杂文也可以包括小品文在内。
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