Search - matlab linear regression

Search - matlab linear regression - List

[matlab] MLRMATLAB DL : 0: 多元线性回归：MATLAB源程序多元线性回归-Multiple Linear Regression : MATLAB source multivariate linear regression
Update : 2025-02-19 Size : 10kb Publisher : bigsheng
[matlab] Regression-Analysis DL : 0: 非线形回归分析的matlab源代码和文本分析的文档.-Non-linear regression analysis matlab source code and text analysis of documents.
Update : 2025-02-19 Size : 2kb Publisher : sunny
[Algorithm] lwpr DL : 0: 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 methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.
Update : 2025-02-19 Size : 1.28mb Publisher : wanghuaqiu
[matlab] MATLAB DL : 0: 《计量地理学》（徐建华，高等教育出版社，2005）配套实习指导,利用Matlab编程计算非线性回归模型,以Logistic曲线为例- Quantitative geography (Xu Jianhua, Higher Education Press, 2005) supporting practice guidance, the use of Matlab programming non-linear regression model calculated to Logistic curve as an example
Update : 2025-02-19 Size : 26kb Publisher : 林沐生
[matlab] Matlab DL : 0: 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
Update : 2025-02-19 Size : 9kb Publisher : 龚涛
[matlab] RegrToolbox DL : 1: 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 modeling and prediction.
Update : 2025-02-19 Size : 24kb Publisher : yinjj
[Books] chapter2 DL : 0: 用matalab成功实现多元线性回归，简单可行，相信能给大家带来方便。-Matalab with the successful implementation of multiple linear regression, simple and feasible, I believe that can bring convenience to everyone.
Update : 2025-02-19 Size : 590kb Publisher : 史立勤
[matlab] matlabtext2 DL : 0: 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 effect of a significant regression and prediction when x = 42 ℃, and the valuation of yield prediction interval (confidence level 95 ) sample included
Update : 2025-02-19 Size : 4kb Publisher : 马刚
[matlab] Matlab DL : 0: 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 对样本进行主成分分析-Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis
Update : 2025-02-19 Size : 3kb Publisher : Wade
[Mathimatics-Numerical algorithms] duoyuan DL : 0: 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! !
Update : 2025-02-19 Size : 3kb Publisher : 胡晓明
[matlab] 4 DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : wyh
[matlab] Linear_Regression_Program DL : 0: linear regression algorithm
Update : 2025-02-19 Size : 1kb Publisher : amina
[matlab] ipqr DL : 0: a modified interior method for linear regression is described in a very simple matlab program
Update : 2025-02-19 Size : 2kb Publisher : sanjeev
[matlab] Pls_tool-tem DL : 1: pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析 -pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
Update : 2025-02-19 Size : 418kb Publisher : zhangguanru
[matlab] LWLR DL : 1: 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.
Update : 2025-02-19 Size : 9kb Publisher : maisam
[Algorithm] BayesianLinearRegression DL : 0: This matlab code is a demo version of Bayesian linear regression. -This matlab code is a demo version of Bayesian linear regression.
Update : 2025-02-19 Size : 2kb Publisher : kjm
[matlab] Linear Regression DL : 0: Linear Regression for matlab
Update : 2025-02-19 Size : 8kb Publisher : rapoo
[matlab] Multivariate Linear Regression DL : 0: Multivariate Linear Regression matlab
Update : 2025-02-19 Size : 2kb Publisher : Dl314
[matlab] multiple linear regression DL : 0: 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)
Update : 2025-02-19 Size : 1kb Publisher : 发表的才不
[matlab] regression-fitting DL : 0: 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)
Update : 2025-02-19 Size : 719kb Publisher : 王鑫

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