搜索资源列表
REGRESSION
- 逐步回归算法，比起一般线性回归的速度要快。而且因子是逐步选择的。-stepwise regression algorithm, compared to the general linear regression faster pace. But factor is gradually choice.
curvfit
- Curve fitting（一）绘制散点图，决定曲线类型 （二）曲线直线化变换（三）建立线性回归方程(四)用线性回归拟合曲线-Curve fitting (1) mapping of plot, decided to curve type (2) linear curve Transform (3) linear regression equation (4) using linear regression curve
caculation2
- 主要介绍逐步回归的方法，并介绍如何利用逐步回归建立最佳线性回归方程。-introduced stepwise regression method, and how to use stepwise regression to establish the best linear regression equation.
MLRMATLAB
- 多元线性回归：MATLAB源程序多元线性回归-Multiple Linear Regression : MATLAB source multivariate linear regression
xianxinghuigui
- 一个简单的线性回归程序。可以用来计算线性回归。-a simple linear regression procedure. Used to calculate linear regression.
CANC
- 估计位场数据局部趋势的简单程序 利用线性回归法估计局部梯度依据数据离散，估计伴随误差-local trend data the simple procedure using linear regression method to estimate local gradient based on discrete data, With the estimated error
RegressionAnalysis
- Matlab数值计算，回归分析，多元线性回归，Matlab统计工具箱的使用-Matlab numerical calculation, regression analysis, multivariate linear regression, statistical Matlab Toolbox use
linearregression
- 用于线性回归的C语言源程序,经过调试,没问题-linear regression for the C-language source, after debugging, no problem
xianxinghuiguiyutanxingmoliang
- 线性回归用于弹性模量的计算，是一个实习程序-linear regression for the modulus of elasticity, is a practical procedure
lineAndTest
- 实现一元线性回归分析并进行F,t检验,以便对得出的回归方程进行线性显著性分析-achieving a linear regression analysis and F, t test, in order to come to the linear regression equation significantly Analysis
Advanced_Statistic
- J语言实现的各种高级统计功能，比如线性回归，聚类分析等。可用在实验室中各种数据仓库的数据挖掘之用。-J language of the High statistical functions, such as linear regression, clustering analysis. Available in the laboratory data warehouse data mining purposes.
TPAD2004
- 用matlab实现的主成分分析，线性回归函数-using Matlab achieve the principal component analysis, linear regression function.
Mathcad2000
- 2 利用Mathcad2000进行多元线性回归分析-two Mathcad2000 use multiple linear regression analysis
2Mathcad2000
- 2 利用Mathcad2000进行一元线性回归分析-two Mathcad2000 use for a linear regression analysis
rqpd_0.6
- 对数进行分位数回归分析，求得分位数回归方程参数。(The quantile regression analysis is performed on the logarithm to obtain the number of regression equations for the score.)
logisticRegressionshiyan线性回归
- 用于数据挖掘，疾病自动诊断，经济预测等领域。例如，探讨引发疾病的危险因素，建立Logistics回归模型，并根据此预测疾病发生的概率等(Used for data mining, disease automatic diagnosis, economic forecasting and other fields. For example, to explore the risk factors for disease, establish Logistics regression model,
LQA to solve problem of SCAD
- 使用局部二次逼近的方法（LQA），求解带有SCAD惩罚项的线性回归问题。(Use the local quardratic approximation (LQA) method to solve the problem of the smoothly clipped absolute deviation penalty (SCAD) in linear regression.)
lasso
- 线性回归里的最小二乘估计，以及应用坐标下降的岭回归和Lasso的回归的python实现(Ridge regression and Lasso regression)
best_linear_regression_equation
- 病人有四个指标：X1：凝血值；X2：预后指数（与年龄相关）；X3：酶化验值；X4肝功能化验值。54位肝病人术前数据与术后生存时间如表所示.病人生存时间的Box-Cox变换变量Z与X1，X2，X3，X4的线性回归模型是合理的，程序实现了如何选择最优回归方程。(Patients have four indexes: X1: coagulation value; x2: prognosis index (related to age); X3: enzyme test value; X4 liver
回归分析
- 回归分析的9种主要算法，包括（一元线性回归、多元线性回归、非线性回归、主成分分析、因子分析、自相关分析以及逐步回归分析等matlab代码以及算法说明。