1.
confidence interval for partial regression coefficients
偏回归系数的置信区间
2.
New Class of Biased Estimators of Coefficients in Linear Regression Models
线性回归模型系数的一个新的有偏估计
3.
Statistical Hypothesis Test for Partial Least Square Regression Coefficients by Bootstrap Method and Implementation of SAS
偏最小二乘回归系数的Bootstrap假设检验及SAS实现
4.
The correlation coefficients of PCR and PLS are0.9780 and0.9986, respectively.
主成分回归模型的相关系数为0.9780,偏最小二乘法模型相关系数为0.9986。
5.
Data Analysis Based on Hierarchical Partial Least-squares Regression;
基于递阶偏最小二乘回归的数据分析
6.
Partial Least-Square Regression and Its Application on Parameter Prediction in the Units;
偏最小二乘回归及其在机组参数预测中的应用
7.
Further Exploration on the Linear Regression Model Parameters Biased Estimate;
线性回归模型参数有偏估计的进一步探讨
8.
A Panel Data Method of Correcting the Omitted Variable Bias in Regression Models;
回归模型中变量遗漏偏差补救的面板数据方法
9.
PLS Logistic Regression on Compositional Data and Its Application;
成分数据偏最小二乘Logistic回归模型及其应用
10.
Modeling of Gene Networks Using Partial Least Square Method
基于偏最小二乘回归的基因网络数学建模
11.
The Superiority about a Class of Linear Estimation of Regression Coefficient under Pitman Closeness Criterion and Best Affine Unbiased Response Decomposition;
PC准则下生长曲线模型回归系数阵的一类线性估计的优良性以及最佳无偏仿射分解
12.
The Conditional Root Squares Estimation of Regression Coefficient in Restricted Linear Regression Model;
约束线性回归模型回归系数的条件根方估计
13.
The Estimation Theory of Regression Coefficient in Linear Regression Model under Balanced Loss Function;
平衡损失下线性回归模型回归系数的估计理论
14.
The Balanced LS Estimation of the Regressive Coefficient in Linear Model and Its Prediction;
线性回归模型回归系数的平衡LS估计及预测
15.
Estimation on Regression Coefficient of Linear Regression Equation in L~p Space;
L~p空间上线性回归方程回归系数的估计
16.
Unbiased Estimation and Application of Parameters of Power and Exponential Functions;
幂函数和指数函数回归模型参数的无偏估计及应用
17.
The Regression Analysis of Varying-Coefficient Models with Censored Data;
删失数据下的变系数模型的回归分析
18.
Estimator of Regression Coefficients in the Growth Curve Model;
生长曲线模型中回归系数的参数估计