尽管这流行，有很少地方了解非线性的回归。
Despite this popularity, there are few places to learn about nonlinear regression.
很多研究人员使用非线性的回归多于任何其他统计工具。
Many researchers use nonlinear regression more than any other statistical tool.
大多数引导统计书只集中于线性回归，并且完全忽略非线性的回归。
Most introductory statistics books focus only on linear regression, and entirely ignore nonlinear regression.
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.
此外，本文提出的LQ定理使我们能用相关分析法，通过变量变换，把单因素非线性回归问题，化成线性形成来处理。
Besides, the LQ theorem presented in this paper can be used to change a nonlinear single regression problem to a linear one by means of transformation of variables.
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.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
结合非线性回归方法，可以对回归结果进一步优化，得到更优的回归方程。
With the nonlinear regression method, results can be improved to get more optimal regression functions.
在对复杂的非线性方程进行回归分析时，提出了一种简单的迭代分析方法。
A simple iteration method is proposed for the complex nonlinear (regression) analysis of heat transfer data.
提出了一种优化非线性系统控制参数的方法——回归正交试验法。
The regression orthogonal test approach can be used to optimize the control parameters for nonlinear systems.
在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
利用支持向量回归的方法对非线性过程进行建模，采用预测函数控制方法进行控制。
The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.
岭回归分析是一种非线性的有偏估计方法。
Ridge Regression Analysis is a nonlinear partial estimation method.
利用非线性逐步回归方法作台风活动趋势的预报。
The nonlinear stepwise regression method is used to make typhoon activity tendency forecast.
本文比较系统地研究了非线性分位点回归模型的统计诊断，尤其是影响分析等。
This thesis is devoted to investigate the statistical diagnostics, particularly the influence analysis, for nonlinear quantile regression.
同时，用非线性回归技术计算了旱地地膜穴播春小麦的水分敏感系数。
In the meantime, the water sensitive coefficient of the spring wheat was computed by nonlinear multiple regression methods.
本文给出了若干近似公式，以分析非线性回归模型的最小二乘估计的残差。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
门限自回归模型是一种新近创立的非线性时间序列摸型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
为了探索这种活动机制，本文用基于非线性自激振动的指数自回归模型来研究这些特征。
To study this mechanism, we used the exponential autoregression model which is originated from non-linear auto-vibration.
提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
对于非线性函数线性组合型相关方程，本文提出了交替运用非线性拟合和逐步线性回归分析相结合的方法一逐步非线性拟合。
A stepwise nonlinear fitting procedure was proposed to nonlinear fitting equations that USES Marquardt nonlinear fitting analysis and stepwise linear regression alternatively.
介绍非线性回归和操作条件的非线性优化方法。
The non linear regression and non linear optimization methods for operating conditions were introduced.
不但显著提高了非线性生物模型回归参数的精度，而且还能发现原始数据中隐藏的问题。
It can not only improve regression precision of the nonlinear biology models but also can find problems hidden in the original data.
建议的模型校正估计可以处理任何线性或非线性的工作模型，且在线性模型的情形下变为广义回归估计。
The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case.
以BP网络为例给出了基于人工神经网络的非线性回归实例分析。
Based on BP network, the example of nonlinear regression by artificial neural networks is given.
采用非线性回归的方法，提出了该桥混凝土箱梁的温度梯度模式。
The mode of temperature gradient of this Bridges box girder is developed by the method of nonlinear regression.
提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。
A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.
通过分析道路交通事故发生的特点，从不同的角度，建立了模糊图模型、非线性回归模型及基于灰色理论的灰色预测模型。
The predictive models of fuzzy graph, nonlinear regression and with grey theory are set up from different aspects by analyzing the features of road traffic accidents.
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