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.
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.
dynhgj
- matlab来编写多元逐步回归分析,初学者适合-Matlab to prepare multiple stepwise regression analysis, suitable for beginners
ManyYuangraduallyreturnthealgorithm
- 一个不错的多元逐步回归算法.很实用,不过仅供参考奥-a good multiple stepwise regression algorithm. Very practical, but for reference purposes only Olympic
zhubuhuiguifenxi
- 本程序是一个逐步回归分析的演示程序,通过对众多因子的逐步选择,最终选出影响最大的因子构成线性回归方程。-this procedure is a stepwise regression analysis of the demonstration program, many of the progressive choice factor, ultimately selected the greatest impact factor constitute linear regression equa
Stepwise.rar
- 本人初次使用VB,也是刚开始尝试逐步回归分析算法,如有问题请多指教。,I first use of VB, is just beginning to try stepwise regression analysis algorithm, please advise if there are questions.
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
Stepwise-regression
- 大坝安全监测逐步回归的经典案例,非常适合初学者进行程序调试,解决实际问题-Classic case of dam safety monitoring stepwise regression, very suitable for beginners program debugging, and solve practical problems
fsbox
- Stepwise forward and backward selection of variables using linear models
beiyesifenbu
- 分类判别中,bayes判别的确具有明显的优势,与模糊,灰色,物元可拓相比,判别准确率一般都会高些,而BP神经网络由于调试麻烦,在调试过程中需要人工参与,而且存在明显的问题,局部极小点和精度与速度的矛盾,以及训练精度和仿真精度间的矛盾,等,尽管是非线性问题的一种重要方法,但是在我们项目中使用存在一定的局限,基于此,最近两天认真的研究了bayes判别,并写出bayes判别的matlab程序,与spss非逐步判别计算结果一致。-Classified Identifying, bayes discrim
hgnh
- 数学建模中回归法拟合(包括初步回归,逐步回归和二元二项回归)的matlab程序-Mathematical Modeling in the return fitting (including the initial regression, stepwise regression and binary regression 2) the matlab program
nihehuigui
- 在VC环境下,分别采用线性回归和逐步回归两种算法对算例数据进行拟合,并给出拟合结果,程序完整-In the VC environment, respectively, linear regression and stepwise regression algorithm to two kinds of examples of data fitting, and gives fitting results, integrity of the process
CH9
- 9.1 随机样本分析irhis.c 9.2 一元线性回归分析isqt1.c 9.3 多元线性回归分析isqt2.c 9.4 逐步回归分析isqt3.c 9.5 半对数数据相关ilog1.c 9.6 对数数据相关ilog2.c-9.1 random sample analysis irhis.c 9.2 linear regression analysis isqt1.c 9.3 Multiple Linear Regression Analysis isqt2.c 9.4 s
ShortestPath
- 从始点v0开始,逐步求v0到其它可达的各顶点的最短路径,直到所有顶点计算完成为止。-Starting from the starting point v0, v0 to other stepwise up to the shortest path to each vertex, until all vertex calculations are completed.
huigui
- matlab做多元逐步回归的程序,适合初学者使用,简单明了-matlab to do multiple stepwise regression procedures, suitable for beginners to use, simple and clear
stepwise
- 最小二乘法多元线性回归的matlab实现-Least squares linear regression of the matlab implementation
stepwise-regression-analysis-
- C++做的逐步回归分析程序,用于数据统计分析建模-C++do stepwise regression analysis program, used for data analysis modeling
stepwise
- 多元统计分析中用于判别的逐步判别法,用于筛选变量,剔除多余变量的逐步判别的matlab程序-Multivariate statistical analysis for discriminant stepwise discriminant method for screening variables, stepwise discriminant eliminate redundant variables matlab program
stepwise
- 逐步回归的基本思想是将变量逐个引入模型,每引入一个解释变量后都要进行F检验,并对已经选入的解释变量逐个进行t检验,当原来引入的解释变量由于后面解释变量的引入变得不再显著时,则将其删除。以确保每次引入新的变量之前回归方程中只包含显著性变量。这是一个反复的过程,直到既没有显著的解释变量选入回归方程,也没有不显著的解释变量从回归方程中剔除为止。以保证最后所得到的解释变量集是最优的。(In statistics, stepwise regression is a method of fitting re
stepwise
- 逐步回归的基本思想是将变量逐个引入模型,每引入一个解释变量后都要进行F检验,并对已经选入的解释变量逐个进行t检验,当原来引入的解释变量由于后面解释变量的引入变得不再显著时,则将其删除。以确保每次引入新的变量之前回归方程中只包含显著性变量。这是一个反复的过程,直到既没有显著的解释变量选入回归方程,也没有不显著的解释变量从回归方程中剔除为止。以保证最后所得到的解释变量集是最优的。本文件结合实例利用MATLAB实现逐步回归的过程。(The basic idea of gradual regressio