1) generalized linear model with convex constraint
广义凸约束线性模型
2) restricted linear model
约束线性模型
1.
In this article we consider the influence of the regression coefficient the arbitrary rank restricted linear model based on linear transformations of the dependent variable.
考虑线性变换对约束线性模型回归系数的影响问题 。
2.
Utilizing Wu s outcome Of admissible estimators for regression coefficient under matrix loss in nonrestraint linear models, we obtain The result with regard to restricted linear models as follows: AY+g.
考虑约束线性模型M_r={Y,Xβ,σ~2V|Rβ=r)其中X列满秩,V为正定矩阵。
3) generalized modulus of convexity
广义凸性模
1.
By the study of the relationship between generalized modulus of convexity and the coefficient of weak orthogonality,sufficient condition for Banach space X have uniform normal structure is obtained,which imply the single valued nonexpansive mapping to have fixed point,moreover which also imply the multivalued nonexpansive mapping to have fixed point.
通过对广义凸性模与弱正交系数关系的研究,得到了Banach空间具有一致正规结构的充分条件,从而得到了Banach空间上的单值非扩张映射存在不动点的充分条件,并且证明了上述条件同样使得Banach空间上的集值非扩张映射也存在不动点。
4) 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
5) 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。
6) generalized linear models
广义线性模型
1.
Classification ratemaking based on generalized linear models
基于广义线性模型的分类费率厘定方法
2.
The estimation of semiparametric and generalized linear models(SGMLs) was considered,an efficient estimation was given based on the proposed moment-type estimation,with its asymptotic behavior investigated.
考虑了半参数广义线性模型的估计问题。
3.
An estimation algorithm of coefficient to select variables for L1 regularized generalized linear models was introduced.
介绍了L1规划广义线性模型(GLM)的一种系数估计法,估计系数的同时进行变量选择,从而确立模型。
补充资料：线性约束
分子式：
CAS号：
性质：任何一个方案都必须满足一定的条件，这些条件称为约束条件。具有线性等式和(或)线性不等式的约束条件，称为线性约束。如一组等精度测定值x1，x2，…，xn，其线性约束条件为
CAS号：
性质：任何一个方案都必须满足一定的条件，这些条件称为约束条件。具有线性等式和(或)线性不等式的约束条件，称为线性约束。如一组等精度测定值x1，x2，…，xn，其线性约束条件为
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