非线性回归

非线性回归的一种算法n阶行列式的微分法

A new method of nonlinear regression A Differential Solution to N-step Functional Determinants

加权非线性回归的Score检验及其局部影响分析

Score Statistic and Its Local Influence Analysis in Weighted Nonlinear Regression

基于MATLAB的多元非线性回归模型

The Multivariate Nonlinear Regression Model Based on MATLAB

PE薄膜电导非线性回归分析

Analysing the conductance characteristics of PE thin films by means of nonlinear regression

一类非线性回归模型在NA样本下的估计问题

Estimate problem of nonlinear regression model with sequence of NA

计算线性与非线性回归模型的能力是R的强大功能之一。

One of R 's strengths is its ability to calculate linear , as well as nonlinear regression models .

正是SVM在求解非线性回归问题方面有这些独特的优势，将SVM引入到短期负荷预测中是可行的。

It is SVM that wins these prominent advantages over solving nonlinear regression problems .

相依非线性回归系统中的附加信息Bayes拟似然

Bayes Quasi-Likelihood with Auxiliary Information in Seemingly Unrelated Nonlinear Regression Systems

AR（q）误差非线性回归模型基于几何方法的若干二阶渐近性质

Some Second Order Asymptotics in AR ( q ) Nonlinear Regression Models Based on Geometric Method

非线性回归模型LS估计量的二阶矩

The Second Moment of LSE in the Nonlinear Regression Model

支持向量机（SVM）在非线性回归估计中具有很好的学习性能。

Support Vector Machine ( SVM ) for nonlinear regression has shown very good learning performance .

非线性回归参数LS估计量性质的模拟研究

A Simulation Study on the Properties of LS Estimator about Nonlinear Regression Parameters

非线性回归的LS估计问题是一类重要的统计问题。

The LS-estimator in nonlinear regression problems is an important statistical estimator problem .

应用SAS解非线性回归问题

The Application of SAS / STAT on Nonlinear Regression

SAS统计软件在心肌酶代谢数学模型非线性回归中的应用

Nonlinear Regression of Cardiac Enzyme Kinetic Model with SAS

非线性回归模型中的拟Fisher信息

Quasi Fisher Information In The Non linear Regression Model

一种SVM非线性回归算法

SVM Nonlinear Regression Algorithm

m0相依误差下非线性回归模型LS估计的大偏差

A Large Deviation for the Least Squares Estimators in Nonlinear Regression With m_0 Dependent Errors

这些研究采用的方法可以划分为两大类：区位模型分析和问卷调查分析。前者运用各种数学模型，如多元线性和非线性回归模型，采用经济统计数据，分析影响FDI的关键投资环境因素。

We can divide these papers into two groups : one is using linear or nonlinear models and economical statistic data ;

在这个由三部分构成的系列文章的第二部分，我们将深入研究R中的中级及高级技术&首先是线性回归和非线性回归。

In the second of this three-part series on R , we 'll delve into intermediate and advanced techniques in R & starting with linear and nonlinear regressions .

稳健非线性回归估计Newton-Raphson算法的强相合性

Strong consistency of robust nonlinear regression estimates using Newton Raphson algorithms

笔者综合运用非线性回归诊断分析，建立了Logistic回归模型异常值判定的基本原理和方法。

On the basis of the non-linear regression diagnostic analysis , the authors put forward a diagnostic method to assess the outliers of the Logistic regression model .

采用非线性回归方法拟合流变测量实验结果，得到以PTT本构模型表征的材料线性和非线性粘弹流变参数。

Both linear and nonlinear viscoelastic rheological parameters of PTT model are obtained by using nonlinear regression method .

在韦博成（1995）讨论的加权非线性回归模型的基础上，用随机系数的方法，讨论加权线性随机系数模型中的异方差检验问题，得到了方差齐性检验的Score统计量。

Based on Wei ( 1995 ), this paper deals with heteroscedasticity in nonlinear regression models with random coefficients . Several score tests are obtained to test hypothesis of homoscedasticity .

目的采用非线性回归中的最大值函数拟合正常人群前臂远端骨密度（BMD）变化。

Objective To fit the bone mineral density ( BMD ) changes in distal forearm of normal human by non-linear regression .

基于上述几何结构，给出了AR（q）误差非线性回归模型若干二阶渐近性质的曲率表示。

Based on the above geometric framework , some second order asymptotics for AR ( q ) nonlinear regression models are given in terms of statistical curvatures .

针对温度对废气氧传感器输出的影响，建立了带温度校正的EGO传感器非线性回归模型。

For the influence of temperature to EGO sensor 's output , its nonlinear regression models which include temperature 's modifying term be achieved .

因此，从物质平衡方程式出发，建立以G和Ce为未知变量的新方程，通过非线性回归方法求出最佳解。

On account of these , based on material balance equation this paper establishes a new equation with variable of G and C_e , and gets optimal solution through nonlinear regression method .

本文讨论了误差为ARMA（1,1）序列的非线性回归模型.首先得到随机误差相关性和异方差性检验的似然比检验统计量和Score检验统计量；

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 .

将实验数据进行线性和非线性回归，得出导热系数（k）和比热（C）随时间变化的规律。

According to the experimental data , we carry out linear and nonlinear regression and find the law of the heat transfer coefficient ( k ) and the specific heat ( c ) with the change of time .