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局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。,Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel
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多元线性回归分析 置信区间，R平方，F统计量值，与统计量F对应的概率P-Multivariate linear regression
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多元线性回归模型，结合主成分分析原理，完美的运用matlab编程-Multiple linear regression model, combined with principal component analysis theory, the perfect use of matlab programming! !
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模拟退火算法实现、主成分分析实现及线性回归分析等-Simulated annealing algorithm implementation, implementation of principal component analysis and linear regression analysis
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基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
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考察温度x对产量y的影响，测得下列10组数据：求y关于x的线性回归方程，检验回归效果是否显著，并预测x=42℃时产量的估值及预测区间（置信度95 ）
示例包含在内-X on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression equation to test whether the
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Matlab数据统计和分析的程序，包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分
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MATLAB程序，
半参数线性回归模型的最小二乘核估计
半参数线性回归模型的最小二乘正交序列估计。-MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence estimation.
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linear regression algorithm
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a modified interior method for linear regression is described in a very simple matlab program
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this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
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支持向量机非线性回归通用MATLAB源码本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear function approximation, data m
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This matlab code is a demo version of Bayesian linear regression. -This matlab code is a demo version of Bayesian linear regression.
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支持向量机是一种新的回归方法，特别适用于非线性，改程序实现了支持向量机非线性回归-surport vector machine to non-linear regression
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matlab工具箱的rbf网络用于线性回归和曲线拟合，自己手创，绝非复制-matlab toolbox rbf network for linear regression and curve fitting, creating their own hands, not a copy
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Multiple Linear Regression Matlab
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Linear Regression for matlab
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Multivariate Linear Regression matlab
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多元线性回归及显著性检验Matlab程序，分别检验了x2和x3，并且计算精度高(Multiple linear regression and saliency test Matlab program, respectively test the X2 and X3, and the high accuracy of calculation)
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数据回归分析包括一元线性回归，一元非线性回归，多元线性及广义线性回归，多元非线性回归(Data regression analysis including a yuan linear regression, a yuan of nonlinear regression, multiple linear and generalized linear regression and multivariate nonlinear regression)
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