广义组合估计量,Generalized composite estimator
1)Generalized composite estimator广义组合估计量
2)general strong consistency estimate广义强相合估计
3)combining generalized ridge principal component estimate广义岭型组合主成分估计
4)generalized raking ratio estimators广义搜索比率估计量
5)regression composite estimator回归组合估计量
1.Furthermore,regression composite estimator is constructed by thes.在使用样本轮换的连续性抽样调查中,不仅可以利用前期调查的研究变量的信息,还可使用现期调查的辅助变量信息来建立回归模型进行回归估计,进而构造回归组合估计量,并在此基础上确定最优样本轮换率和最优权重系数,使得回归组合估计量的方差最小,从而更大程度地提高连续性抽样调查的估计精度。
6)generalized ridge estimation广义岭估计
1.Two criterions for the determination of partial parameter of multivariate generalized ridge estimation;多元广义岭估计确定偏参数的两种准则
2.This paper combined bundle adjustment with line and angle respectively computing,generalized ridge estimation and indirect adjustment of observation with condition.CCD卫星影像空间后方交会时,存在系数矩阵列向量间的强相关的问题,用光束法平差同样存在这个问题,将光束法平差与线角元素分求法、广义岭估计、附有限制条件的平差结合,证实三种方法都可以克服平差时外元素和变率改正数震荡大的缺点,并且取得了合理的空间后方交会精度和地面点定位精度。
3.In this paper the criterion is generalized and then used to compare the advantage and disadvantage of the least square estimation of the regression parameter in growth curve model and a generalized ridge estimation.本文将它推广应用于生长曲线模型回归参数阵的最小二乘估计和广义岭估计优劣性的比较。
英文短句/例句

1.Spectral Decomposition Formula of Generalized Ridge Estimation and Liu-type Generalized Ridge Estimator广义岭估计的谱分解式和Liu型广义岭估计
2.The Generalized Ridge Estimation and Its Application in Adjustment广义岭估计及其在测量平差中的应用
3.The Lower Bound of Efficiencies of LSE with Respect to the General Ridge Estimate;LSE相对于一般广义岭估计的效率下界
4.Iterative Arithmetic and Realization of Generalized Ridge Regression of Special Data;特殊数据的广义岭估计迭代算法及其实现
5.The Superiority of Generalized Ridge Estimation of Regression Parameter in Growth Curve Model under Pitman Closeness Criterion;PC准则下生长曲线模型回归参数阵广义岭估计的优良性
6.The Relative Efficiencies of the Generalized Ridge Estimators of the Parameters in the Linear Model with Aggregated Date聚集数据线性模型参数的广义岭估计的相对效率
7.Ridge Estimate on Moore-Penrose Inverse Matrix of Generalized Linear Regression Model广义线性回归模型的Moore-Penrose逆阵岭估计
8.Ln this paper, the general form of ridge regression by obtaining. The explicit solution is founel to depend upon certain limit/ convergence far generalized Ridge Regression.本文给出了广义岭回归估计的一般形式,通过极限方法给出了广义岭回归估计的一个精确解。
9.Study on the Generalized Ridge & Principal Correlation Estimate and Admissibility;广义岭型主相关估计与可容许性的研究
10.Combining Generalized Ridge and Principal Correlation Estimation of the Regression Parameters and Its Optimality回归系数的广义岭型主相关估计及其优良性
11.An Improvement of Combining Generalized Ridge and Principal Components Estimator for Seemingly Unrelated Regression System半相依回归系统的广义岭型主成分改进估计
12.generalized least squares estimator广义最小二乘估计量
13.joint GLS coefficient estimator联合广义最小二乘系数估计量
14.Aitken's generalised least-squares estimator艾特肯广义最小平方估计量
15.Newton's Method on Manifolds: Generalized Point Estimate Theory;流形上的Newton法:广义点估计理论
16.A Genralzied Estimating Equations Approach to Categorical Data;分类重复测量资料广义估计方程应用
17.State Estimation and Indefinite Linear Quadratic Control for Generalized Systems;广义系统的状态估计与不定二次控制
18.A volatility estimation method based on generalized additive model;基于广义可加模型的波动率估计方法
相关短句/例句

general strong consistency estimate广义强相合估计
3)combining generalized ridge principal component estimate广义岭型组合主成分估计
4)generalized raking ratio estimators广义搜索比率估计量
5)regression composite estimator回归组合估计量
1.Furthermore,regression composite estimator is constructed by thes.在使用样本轮换的连续性抽样调查中,不仅可以利用前期调查的研究变量的信息,还可使用现期调查的辅助变量信息来建立回归模型进行回归估计,进而构造回归组合估计量,并在此基础上确定最优样本轮换率和最优权重系数,使得回归组合估计量的方差最小,从而更大程度地提高连续性抽样调查的估计精度。
6)generalized ridge estimation广义岭估计
1.Two criterions for the determination of partial parameter of multivariate generalized ridge estimation;多元广义岭估计确定偏参数的两种准则
2.This paper combined bundle adjustment with line and angle respectively computing,generalized ridge estimation and indirect adjustment of observation with condition.CCD卫星影像空间后方交会时,存在系数矩阵列向量间的强相关的问题,用光束法平差同样存在这个问题,将光束法平差与线角元素分求法、广义岭估计、附有限制条件的平差结合,证实三种方法都可以克服平差时外元素和变率改正数震荡大的缺点,并且取得了合理的空间后方交会精度和地面点定位精度。
3.In this paper the criterion is generalized and then used to compare the advantage and disadvantage of the least square estimation of the regression parameter in growth curve model and a generalized ridge estimation.本文将它推广应用于生长曲线模型回归参数阵的最小二乘估计和广义岭估计优劣性的比较。
延伸阅读

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。