线性回归模型,linear regression model
1)linear regression model线性回归模型
1.Parameter estimation oflinear regression model under two different missing mechanisms;不同缺失机制下线性回归模型的参数估计
2.S-estimators in thelinear regression model with dependent error terms.;相依误差下线性回归模型的S-估计
3.Robust universal least squares estimationinlinear regression model;线性回归模型的抗差泛最小二乘估计
英文短句/例句
1.classical normal linear regression model古典正态线性回归模型
2.multiple normal linear regression mode多重正态线性回归模型
3.stochastic assumption of linear regression model线性回归模型随机假设
4.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
5.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
6.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
7.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
8.The Eviews Diagnosis of Linear Regression Model Structure’s Stability线性回归模型结构稳定性的Eviews诊断
9.Optimized relative linear estimation on the parameters of fuzzy linear regression model;模糊线性回归模型参数的最优线性相关估计
10.Weighted Least Squares Estimate for Linear Regression Model;线性回归模型中的加权最小二乘估计
11.Application of Non-linear Regressive Model in Stock Price Forecast;非线性回归模型在股价预测中的应用
12.Linear Regression Model for Composite Stock Index of Shanghai Stock Exchange Centre(Daily;上证综合指数(日收盘)线性回归模型
13.Bayesian Predictive Analysis of the Multiple Linear Regression Model;多重线性回归模型的贝叶斯预报分析
14.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
15.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
16.Ridge Estimate on Moore-Penrose Inverse Matrix of Generalized Linear Regression Model广义线性回归模型的Moore-Penrose逆阵岭估计
17.Analysis to once basic linearity regression model by applying the Excel应用Excel对一元线性回归模型的分析
18.Estimation of parameter in linear regression model for middle-censored data中间删失线性回归模型中的参数估计
相关短句/例句
linear regressive model线性回归模型
1.In order to detect the length of secret messages embedded by audio-to-image audio steganography,via researching distribution characteristic of wavelet coefficients histogram after audio-to-image transform the peak frequency feature which has linear relationship with the embedding capacity is extracted,and thelinear regressive model is established.为了分析音-图转换音频隐密方法嵌入的秘密信息长度,通过考察音-图转换后小波系数直方图的分布特性,提取出与嵌入容量成线性关系的峰值频率特征,建立了线性回归模型。
2.Its result was compared with the results obtained bylinear regressive model, and it is verified that the precision of BP network is higher than that oflinear regressive model.本文通过应用人工神经网络模型中的ＢＰ网络模型，对济宁市地下水水位变化规律进行了定量预测，并与线性回归模型的计算结果进行比较，证明ＢＰ网络模型的精度较高。
3.In order to detect the length of secret messages embedded by audio-to-image audio steganography, via researching distribution characteristic of wavelet coefficients’ histogram after audio-to-image transform the peak frequency feature which has linear relationship with the embedding capacity is extracted, and thelinear regressive model is established.为了分析音-图转换音频隐密方法嵌入的秘密信息长度,通过考察音-图转换后小波系数直方图的分布特性,提取出与嵌入容量成线性关系的峰值频率特征,建立了线性回归模型。
3)non-linear regression model非线性回归模型
4)nonlinear regression model非线性回归模型
1.Joint test innonlinear regression models with AR(2) random errors具有AR(2)误差非线性回归模型的联合检验
2.After the research work of the experiments data,a suitablenonlinear regression model was selected.参考透皮给药的大量实验数据,选择一种非线性回归模型作为相应的数学模型,并通过这一模型中的透皮系数作为被估计的参数完成了这一工作,同时给出了对20种药物的不同渗透系数的估计·最后的讨论中发现,这一工作进一步支持了将皮肤视作单层渗透膜的理论·
3.The likelihood ratio test and Score test are proposed to test the autocorrelation and heteroscedasticity of the ARMA(1,1) sequence random errors innonlinear regression models.本文讨论了误差为ARMA(1 ,1 )序列的非线性回归模型 。
5)Nonlinear regression非线性回归模型
6)Nonlinear regression models非线性回归模型
1.Then we extend the results of nonlinear regression models with linear random errors to those with bilinear random errors.本文讨论了具有双线性BL(1,1,1,1)误差的非线性回归模型的相关性和方差齐性的检验问题, 用Score检验方法给出了双线性项检验、相关性检验、方差齐性检验、以及相关性和方差齐性同时检验的检验统计量。
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。
