1.
The Application with Regressive Variance Analysis Method to Estimate the Risk of Investment Projects;
结合回归方差分析法评价投资项目的风险
2.
A GENERALIZED VARIANCE-RATIO TEST FOR A HETEROSKEDASTIC REGRESSION;
异方差回归中的广义方差比检验(英文)
3.
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
4.
Testing Heteroscedasticity by Wavelets in a Nonparametric Autoregressive Model
非参数自回归模型异方差的小波检验
5.
A Generalized Spectral Density Test of Conditional Autoregressive Heteroscedasticity for Threshold Autoregressive Model;
门限自回归模型中自回归条件异方差的广义谱密度检验
6.
The Random Error Variance Consistentestimate of Measure Error Quadratic Multinomial Regression Model
测量误差二次多项式回归模型随机误差方差的相合估计
7.
Admissibility of Regression Coefficient in Variance Components Models(Ⅱ)
方差分量模型中回归系数估计的可容许性(Ⅱ)
8.
Covariance-Improved Estimator of Seemingly Unrelated Regression Equation System under Linear Restriction;
线性约束下半相依回归系统的协方差改进估计
9.
The Application of ARCH Model in Shanghai Stock Market;
自回归条件异方差模型在我国沪市的应用研究
10.
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
11.
A TEST FOR THE AUTOCORRELATION OF ERROR IN LINEAR REGRESSION MODEL;
线性回归模型误差相关的一种诊断方法
12.
Autoregressive conditional volatility-skewness-kurtosis: A new model
自回归条件方差-偏度-峰度:一个新的模型
13.
Identification Method of Welding Seam Offset Based on Support Vector Regression Machine
基于支持向量回归机的焊缝偏差识别方法
14.
Missing Data under Anxiliary Lnformation and Its Variance Estimation
缺失数据情形下的回归插补及其方差分析
15.
Bias of the Estimator Double Sampling for Multiple Linear Regression and Estimate of Mean Square Errors of this Estimator;
双重多元线性回归估计量的偏差和均方误差的估计量
16.
Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.
用间接观测平差法分析线性回归方程,用曲线中点比较法选择最优非线性回归方程。
17.
The Existence of MLE of the Parameters in Censored Linear Regression Models with Unequal Variances
异方差截尾线性回归模型参数极大似然估计的存在性
18.
Effect of general partial residual plot on suggesting the form of transformation of explanatory variables in regression equation
普通偏残差图对自变量在回归方程中函数形式的提示作用