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lwpr.rar
- 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
regression.rar
- 多元线性、非线性逐步回归、还可做回归显著性检验,Multiple linear, nonlinear regression, but also to do regression test of significance
stepwise.rar
- 这是一个关于逐步回归求多元线性回归的一个VC例程,It is a stepwise regression for multiple linear regression routine of a VC
duoyuan
- 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! !
2009620150022
- 解多元线性回归方程组,工业控制算法.可移植到MFC程序中.-Solution of multiple linear regression equations, industrial control algorithm. Can be transplanted to MFC program.
StepwiseRegress
- 逐步法线性回归 C#源码（vs2005工程），得到回归系数、复相关系数、相关系数矩阵等。-Stepwise linear regression C# source code (vs2005 project), the regression coefficient, multiple correlation coefficient, correlation coefficient matrix.
VC-multi-regress
- 用MFC编了一个多元线性回归，在视窗口显示回归函数，待处理的数据也在压缩文件内。-MFC series with a multiple linear regression, the regression function, as the window displays when the processed data is also compressed document.
onelinearregression
- 很有用的用java实现的一元线性回归的程序。-Very useful procedures implementation of the linear regression use java .
RegrToolbox
- 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
regression
- 此为线性拟合元程序，可以在不知道函数形式的情况下，在较小的误差范围内得出函数的参数！-This element program for linear regression, you can function in the form of do not know the circumstances, the error in the smaller range of parameters derived function!
i-Regr
- 用MT4编的一个线性回归的源代码，可以 被mt4应用来分析趋势-MT4 with a linear regression for the source code, can be used to analyze trends mt4
21614dyhg
- Multiple linear regression
matlabtext2
- 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
Unit1
- for linear regression
Unary-linear-regression-Model
- 最小二乘法拟合一元线性回归函数，并进行显著性和拟合优度检验。-Least squares fit linear regression functions, and for significance and goodness of fit test.
linear regression
- linear regression for matlab
linear regression
- linear regression for machine learning lesson
Multivariate linear regression
- Multivariate linear regression matlab
linear regression _ Multivar
- linear regression with multi variable, Credit: Andrew Ng
regression-fitting
- 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)