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The subroutines glkern.f and lokern.f use an efficient and fast algorithm for
automatically adaptive nonparametric regression estimation with a kernel method.
Roughly speaking, the method performs a local averaging of the observations when
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Author:Eubank year:(1999)Name:Nonparametric Regression and Spline Smoothing second edition
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非参数统计学中非参数回归的简单应用核回归程序，应用范围广泛，不需要知道样本的分布就可以使用该方法。-Non-parametric statistical regression Nonparametric kernel regression of the simple application procedure, a wide range of applications, does not need to know the distribution of the samples you can u
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数学建模中对交通流量短时间预测 主要基于非参数估计回归-Mathematical Modeling of short-term traffic forecast is based on nonparametric regression estimation
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A introductory book about non-parametric statistics
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Gaussian的小波去噪工具箱，基于matlab-Gaussian Wavelet Denoising Matlab Toolbox
Various wavelet shrinkage and wavelet thresholding estimators, appeared in the nonparametric regression literature, are implemented in MATLAB§. These estimators arise from a wide
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In this paper, we make contact with the field of nonparametric
statistics and present a development and generalization
of tools and results for use in image processing and reconstruction.
In particular, we adapt and expand kernel regression ide
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支持向量机工具箱By Kris De Brabanter,标准的非参数回归，健壮的回归，一些调优标准等经典交叉验证，较好的交互性-The StatLSSVM toolbox is written so that only a few lines of code are necessary in order to perform standard nonparametric regression, regression with correlated errors and robust regre
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小波变换阈值去噪的文章，基于最大最小准则计算-Minimax Estimation, Adaptive Estimation, Nonparametric
Regression, Density Estimation, Spatial Adaptation, Wavelet Orthonormal bases, BesovSpaces, Optimal Recovery.
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一元方差分析；非参数方差分析；一元线性/非线性回归分析，多重回归分析(One way ANOVA, nonparametric ANOVA, single linear / nonlinear regression analysis, multiple regression analysis)
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局部加权多项式回归的目的是解决全球行为模型的表现不好或不能有效地应用于不必要的努力。LWP是一种非参数回归方法，是通过低阶多项式对数据子集进行逐点拟合局部。(Locally Weighted Polynomial regression is designed to address situations in which models of global behaviour do not perform well or cannot be effectively applied without u
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