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

    计算线性与非线性回归模型的能力是R的强大功能之一。

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  • Nonlinear regression and quadratic response surface models.

    非线性回归和二次响应面模型。

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  • 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.

    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。

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

    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。

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  • With the nonlinear regression method, results can be improved to get more optimal regression functions.

    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。

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  • A simple iteration method is proposed for the complex nonlinear (regression) analysis of heat transfer data.

    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。

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  • 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.

    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。

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  • SVM can deal with nonlinear problems in classification and Regression easily by using kernel functions.

    通过引入核函数,支持向量机可以很容易地实现非线性算法。

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  • A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.

    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。

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  • A stepwise nonlinear fitting procedure was proposed to nonlinear fitting equations that USES Marquardt nonlinear fitting analysis and stepwise linear regression alternatively.

    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。

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  • 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.

    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。

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  • It can not only improve regression precision of the nonlinear biology models but also can find problems hidden in the original data.

    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。

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  • Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.

    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。

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  • The mode of temperature gradient of this Bridges box girder is developed by the method of nonlinear regression.

    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。

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  • The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.

    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。

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  • The regression orthogonal test approach can be used to optimize the control parameters for nonlinear systems.

    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。

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  • Based on the locally kernel weighted least squares fit of the nonparametric regression models, this paper presents the nonparametric testing method for nonlinear cointegration.

    本文基于非参数回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。

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  • The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.

    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。

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  • This thesis is devoted to investigate the statistical diagnostics, particularly the influence analysis, for nonlinear quantile regression.

    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。

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  • A kind of nonlinear regression estimator for limited Population is given and the quality and the sampling variance about is discussed.

    对有限总体在不放回抽样的方法下,构造了一类非线性回归估计量,讨论了它的性质及其有关抽样误差.。

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  • As in ordinary regression models, the problem of the heteroscedasticity test still exists in nonlinear models with correlated errors, but, the test for correlation also needs to be considered.

    和普通的非线性回归模型一样,具有相关误差的非线性模型也存在异方差检验问题,但通常还要检验相关性。

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  • 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.

    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。

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  • On the basis of our mathematic models of the titration, the content and conditional dissociation constant may be determined by using nonlinear regression.

    根据多元酸碱滴定计算通式,针对实际情况化简后,非线性回归同时求出浓度和条件离解常数。

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  • The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.

    支持向量机(SVM)是一种线性机器,广泛用于模式分类和非线性回归。

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  • An improved grey GM (1, 1) model using a technique of nonlinear regression is proposed.

    提出了一种结合非线性回归技术的灰色GM(1,1)模型的改进模型。

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  • The empirical relationship of the differences was obtained using nonlinear regression method and verified with the determined data.

    用非线性回归方法得出了水样不同处理方式下总磷间的经验关系式,并进行了验证。

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  • A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.

    提出了一种基于分类技术的支持向量回归方法,解决数据分布未知、数学模型未知的非线性回归问题。

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  • Simulation results and real measuring data calculations show that the precision estimation efficiency can be obtained by our method for a large class of linear and nonlinear regression models.

    仿真和实算结果表明,对于一大类线性和非线性回归模型,该方法给出的回归模型的参数估计效率的估计更接近模型参数估计效率的真值。

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  • Based on BP network, the example of nonlinear regression by artificial neural networks is given.

    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。

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  • We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.

    即把一元非线性回归和多元线性回归结合起来,构造一个混合回归模型,这样就减小了模型的残差平方和,从而提高预报的准确性。

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