廣義組合估計量,Generalized composite estimator英語短句,例句大全

廣義組合估計量,Generalized composite estimator
1)Generalized composite estimator廣義組合估計量
2)general strong consistency estimate廣義強相合估計
3)combining generalized ridge principal component estimate廣義嶺型組合主成分估計
4)generalized raking ratio estimators廣義搜索比率估計量
5)regression composite estimator回歸組合估計量
1.Furthermore,regression composite estimator is constructed by thes.在使用樣本輪換的連續性抽樣調查中,不僅可以利用前期調查的研究變量的信息,還可使用現期調查的輔助變量信息來建立回歸模型進行回歸估計,進而構造回歸組合估計量,并在此基礎上確定最優樣本輪換率和最優權重系數,使得回歸組合估計量的方差最小,從而更大程度地提高連續性抽樣調查的估計精度。
6)generalized ridge estimation廣義嶺估計
1.Two criterions for the determination of partial parameter of multivariate generalized ridge estimation;多元廣義嶺估計確定偏參數的兩種準則
2.This paper combined bundle adjustment with line and angle respectively computing,generalized ridge estimation and indirect adjustment of observation with condition.CCD衛星影像空間后方交會時,存在系數矩陣列向量間的強相關的問題,用光束法平差同樣存在這個問題,將光束法平差與線角元素分求法、廣義嶺估計、附有限制條件的平差結合,證實三種方法都可以克服平差時外元素和變率改正數震蕩大的缺點,并且取得了合理的空間后方交會精度和地面點定位精度。
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.本文將它推廣應用于生長曲線模型回歸參數陣的最小二乘估計和廣義嶺估計優劣性的比較。

英文短句/例句

1.Spectral Decomposition Formula of Generalized Ridge Estimation and Liu-type Generalized Ridge Estimator廣義嶺估計的譜分解式和Liu型廣義嶺估計
2.The Generalized Ridge Estimation and Its Application in Adjustment廣義嶺估計及其在測量平差中的應用
3.The Lower Bound of Efficiencies of LSE with Respect to the General Ridge Estimate;LSE相對于一般廣義嶺估計的效率下界
4.Iterative Arithmetic and Realization of Generalized Ridge Regression of Special Data;特殊數據的廣義嶺估計迭代算法及其實現
5.The Superiority of Generalized Ridge Estimation of Regression Parameter in Growth Curve Model under Pitman Closeness Criterion;PC準則下生長曲線模型回歸參數陣廣義嶺估計的優良性
6.The Relative Efficiencies of the Generalized Ridge Estimators of the Parameters in the Linear Model with Aggregated Date聚集數據線性模型參數的廣義嶺估計的相對效率
7.Ridge Estimate on Moore-Penrose Inverse Matrix of Generalized Linear Regression Model廣義線性回歸模型的Moore-Penrose逆陣嶺估計
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.本文給出了廣義嶺回歸估計的一般形式，通過極限方法給出了廣義嶺回歸估計的一個精確解。
9.Study on the Generalized Ridge & Principal Correlation Estimate and Admissibility;廣義嶺型主相關估計與可容許性的研究
10.Combining Generalized Ridge and Principal Correlation Estimation of the Regression Parameters and Its Optimality回歸系數的廣義嶺型主相關估計及其優良性
11.An Improvement of Combining Generalized Ridge and Principal Components Estimator for Seemingly Unrelated Regression System半相依回歸系統的廣義嶺型主成分改進估計
12.generalized least squares estimator廣義最小二乘估計量
13.joint GLS coefficient estimator聯合廣義最小二乘系數估計量
14.Aitken's generalised least-squares estimator艾特肯廣義最小平方估計量
15.Newton's Method on Manifolds: Generalized Point Estimate Theory;流形上的Newton法：廣義點估計理論
16.A Genralzied Estimating Equations Approach to Categorical Data;分類重復測量資料廣義估計方程應用
17.State Estimation and Indefinite Linear Quadratic Control for Generalized Systems;廣義系統的狀態估計與不定二次控制
18.A volatility estimation method based on generalized additive model;基于廣義可加模型的波動率估計方法

相關短句/例句

general strong consistency estimate廣義強相合估計
3)combining generalized ridge principal component estimate廣義嶺型組合主成分估計
4)generalized raking ratio estimators廣義搜索比率估計量
5)regression composite estimator回歸組合估計量
1.Furthermore,regression composite estimator is constructed by thes.在使用樣本輪換的連續性抽樣調查中,不僅可以利用前期調查的研究變量的信息,還可使用現期調查的輔助變量信息來建立回歸模型進行回歸估計,進而構造回歸組合估計量,并在此基礎上確定最優樣本輪換率和最優權重系數,使得回歸組合估計量的方差最小,從而更大程度地提高連續性抽樣調查的估計精度。
6)generalized ridge estimation廣義嶺估計
1.Two criterions for the determination of partial parameter of multivariate generalized ridge estimation;多元廣義嶺估計確定偏參數的兩種準則
2.This paper combined bundle adjustment with line and angle respectively computing,generalized ridge estimation and indirect adjustment of observation with condition.CCD衛星影像空間后方交會時,存在系數矩陣列向量間的強相關的問題,用光束法平差同樣存在這個問題,將光束法平差與線角元素分求法、廣義嶺估計、附有限制條件的平差結合,證實三種方法都可以克服平差時外元素和變率改正數震蕩大的缺點,并且取得了合理的空間后方交會精度和地面點定位精度。
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.本文將它推廣應用于生長曲線模型回歸參數陣的最小二乘估計和廣義嶺估計優劣性的比較。