1.
Local Regression Estimation of the Semipar Ametric Models;
半参数回归模型的局部回归估计方法
2.
A regressive prediction model containing recursive kernel regression estimation;
一种包含递归的核回归估计的回归预测模型
3.
Ridge Regression Estimation for Ill-conditioned Systems of Multicomponent Spectrophotometric Determination
多元光度测定病态系统的岭回归估计
4.
regression model for fertility estimation
生育率估计的回归模型
5.
ESTIMATION OF MAXIMUM LIKELIHOOD IN LOGISTIC REGRESSION MODEL
关于Logistic回归中最大似然估计的可估性
6.
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
7.
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
8.
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
9.
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
10.
Computing Maximum Likelihood Estimates for Logistic Regression Coefficients
Logistic回归系数极大似然估计的计算
11.
Strong Consistency of Regression Function Recursive Kernel Estimator under Negatively Associated Samples;
NA样本回归函数递归型估计的强相合性
12.
least square estimation of simple regression
简单回归的最小平方估计
13.
That is, the regression line would tend to overestimate the magnitudes of Y.
即回归线趋于过高估计了Y值。
14.
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
15.
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
16.
Weighted Least Squares Estimate for Linear Regression Model;
线性回归模型中的加权最小二乘估计
17.
Linear strong representative of M-estimators in semiparametric regression models;
半参数回归模型M估计的线性强表示
18.
The Coefficient Estimation of Least Absolute Deviation Regression and Implementation in MATLAB;
最小一乘回归系数估计及其MATLAB实现