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多元线性模型 Multivariate linear model英语短句 例句大全

时间:2021-11-29 08:48:05

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多元线性模型 Multivariate linear model英语短句 例句大全

多元线性模型,Multivariate linear model

1)Multivariate linear model多元线性模型

1.Admissible linear estimators of regression coefficientin a multivariate linear model;多元线性模型回归系数的所有可容许线性估计

2.<Abstrcat>Based on the multivariate linear model with arbitrary rank, the unknown observation matrix was predicted by using the known observation matrix.研究了任意秩多元线性模型中最优线性无偏预测的稳健性,即对任一线性可预测变量,得到了其关于协方差矩阵具有稳健性的充要条件。

3.The conditional optimal prediction of the conditional predictable variable in the multivariate linear model with arbitrary rank and linear equality constrains was investigated.研究了带线性等式约束下任意秩多元线性模型中条件可预测变量的最优预测。

英文短句/例句

1.Admissibility of Linear Predictor in Multivariate Linear Model;多元线性模型中线性预测的可容许性

2.Principal Components Estimate of Regression Coefficient of Multivariate Linear Regression Model;多元线性模型回归系数的主成分估计

3.Research on improvement of ridge estimate of coefficients in the multiple linear model多元线性模型系数岭估计的改进研究

4.Admissibility for Linear Estimators to Regression Coefficients in a Multivariate Linear Models多元线性模型中回归系数的线性可容许估计

5.The Simple Projection Predictor in Multivariate Linear Model with Linear Equality Constraint线性等式约束下多元线性模型的简单投影预测

6.Admissibility of Linear Predictor in Multivariate Linear Model with Linear Equality Constraint;带线性等式约束的多元线性模型中线性预测的可容许性

7.Estimators and Properties for Regression Coefficients in Multivariate Linear Model;多元线性模型回归系数的估计及其性质

8.Some problems on heteroscedasticity in multi-linear regression models;多元线性回归模型中的异方差性问题

9.THE BAYES ESTIMATOR IN A MULTIVARIATE LINEAR REGRESSION UNDER MISSPECIFICATION;错误指定多元线性回归模型的Bayes估计

10.Minimax estimation in multivariate linear regression model under restrictions有约束的多元线性回归模型的Minimax估计

11.Multiple Linear Regression Model of the Real Estate Market in China中国房地产价格的多元线性回归模型

12.The Multivariate Nonlinear Regression Model Based on MATLAB基于MATLAB的多元非线性回归模型

13.Asymptotical properties of generalized least squares estimation for multiple nonlinear regression models多元非线性回归模型GLS估计的渐近性质

14.On Some Aspects of Statistical Inference in Linear Mixed Models and Multivariate Distribution;线性混合模型与多元分布中的统计推断问题

15.Application of Multiple Regression Model in hospital expense estimation;多元线性回归模型在住院费用测算中的应用

16.The Determination of the Multivariate Linear Regressive Model Influencing the Quantity of Specialized Brains;影响专业人才数量的多元线性回归模型的确定

17.Study on the Multiple Linear Regression Forecasting Models of Chinese Petroleum Demand;我国石油需求的多元线性回归预测模型研究

18.Application of Multiple Terms Linear Regressive Equation in Market Comparison Approach;多元线性回归模型在市场比较法中的应用

相关短句/例句

multivariate linear models多元线性模型

1.Approximation to the distribution of least distances estimate inmultivariate linear models by randomly weighted bootstrap;多元线性模型中最小距离估计分布的随机加权逼近

2.In this paper, we discuss the admissibility inmultivariate linear models where considered regression parameter varies in an incomplete ellipoia(?:?′N?≤σ 2Im, N≥O),under the quadratic loss,the linear admissible estimator is characterized.本文讨论了多元线性模型在椭球约束 : ′N ≤σ2 Im ,N≥ 0参数的线性估计的可容许性。

3.This paper studies the admissibility of linear estimators inmultivariate linear models with respect to an incomplete ellipsoidal restriction tr(Θ - Θ1) N(Θ - Θ1) ≤ σ2.本文研究了多元线性模型当未知参数受不完全椭球约束tr(Θ-Θ1) N(Θ-Θ1) ≤σ2时线性估计的可容许性问题。

3)multiple linear model多元线性模型

1.Objective The work was designed to estimate the relative importance of each variable inmultiple linear model.目的 :在多元线性模型中 ,估计各自变量的相对重要性。

4)the mutivariate linear regression analysis多元线性模型法

5)multifactors-nonlinear多元非线性模型

1.hemorheology and ET、NOand the expressions of VCAM-1 、ICAM-1、PECAM-1 within the process of blood stasis syndrome(BSS) changing to construct themultifactors-nonlinear formulas and then to explore the mechanism of blood stasis syndrome(BSS) changing.内皮细胞粘附分子-1(PECAM-1)的变化,建立血瘀证演变过程的多元非线性模型,探讨血瘀证演变的机制。

6)multiple fuzzy linear regression models多元模糊线性回归模型

1.Estimation of parameters on themultiple fuzzy linear regression models;多元模糊线性回归模型的参数估计

延伸阅读

多元线性回归模型分子式:CAS号:性质:假定从理论上或经验上已经知道输出变量y是输入变x1,x2,…,xm的线性函数,但表达其线性关系的系数是未知的,要根据输入输出的n次观察结果(c11,x21,…,xml,yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值,所得到的模型为多元线性回归模型。

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