基本释义:

线性回归模型

网络释义

1)linear regression model,线性回归模型

2)linear regressive model,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

5)Nonlinear regression,非线性回归模型

6)Nonlinear regression models,非线性回归模型

用法和例句

Parameter estimation of linear 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

S-estimators in the linear regression model with dependent error terms.;

相依误差下线性回归模型的S-估计

Robust universal least squares estimation in linear regression model;

线性回归模型的抗差泛最小二乘估计

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 the linear 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。

Its result was compared with the results obtained by linear regressive model, and it is verified that the precision of BP network is higher than that of linear 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。

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 the linear 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。

Joint test in nonlinear 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

After the research work of the experiments data,a suitable nonlinear 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·

The likelihood ratio test and Score test are proposed to test the autocorrelation and heteroscedasticity of the ARMA(1,1) sequence random errors in nonlinear regression models.

本文讨论了误差为ARMA(1 ,1 )序列的非线性回归模型 。

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。

classical normal linear regression model

古典正态线性回归模型

multiple normal linear regression mode

多重正态线性回归模型

stochastic assumption of linear regression model

线性回归模型随机假设

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

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

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

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

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

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

Weighted Least Squares Estimate for Linear Regression Model;

线性回归模型中的加权最小二乘估计

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

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

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

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

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

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

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

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