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Description: 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.
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Size: 283648 |
Author: 梁建军 |
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Description: 对matlab工具箱中的多元逐步回归算法参数表现更明确-Matlab toolbox to the stepwise multiple regression algorithm performance parameters more clearly
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Size: 2048 |
Author: wangqin |
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Description: 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
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Size: 3072 |
Author: 张 |
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Description: 逐步回归算法程序，可以实现中间结果的任意输出-Stepwise regression algorithm procedure can be achieved between the results of any output
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Size: 15360 |
Author: tangshx |
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Description: 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 discriminant does have a distinct advantage, with the fuzzy, gray, matter-element and extension compared to determine the exact rate will be higher in general, and the BP neural network trouble as a result of debugging, in the need to manually debug the process of participation, but also obvious problems, the local minimum point and the accuracy and speed of contradictions, as well as simulation training accuracy and precision of the conflict between, and so on, in spite of nonlinear problems is an important method, but the use of our project there are certain limitations, based on the Here, seriously the last couple of days to study the discriminant bayes and bayes discriminant of matlab to write procedures, and non-spss stepwise discriminant calculation results.
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Size: 4096 |
Author: lili |
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Description: 回归的各种分析实例以及matlab代码，包括各种数学应用，比如线性回归，非线性回归，逐步回归-Examples of regression analysis, as well as a variety of matlab code, including a variety of mathematical applications such as linear regression, nonlinear regression, stepwise regression
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Size: 863232 |
Author: 吴明岩 |
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Description: Matlab的贝叶斯判别算法（逐步判别）-Matlab' s Bayes discriminant algorithm (stepwise discriminant)
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Size: 3072 |
Author: 口口 |
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Description: Stepwise forward and backward selection of variables
using linear models
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Size: 4096 |
Author: Tqing |
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Description: 这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations
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Size: 624640 |
Author: 林云龙 |
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Description: 回归分析matlab 源代码不是的法律上的空间撒大家三大啊收到了奥丝蓝黛-matlab stepwise
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Size: 13312 |
Author: wuxj |
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Description: 最小二乘法多元线性回归的matlab实现-Least squares linear regression of the matlab implementation
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Size: 10240 |
Author: 飞 |
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Description: 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
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Size: 1024 |
Author: 漱寒 |
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Description: 插值与拟合，解方程，数据分析，包括广义互相关函数GCC时延估计，现代信号处理中谱估计在matlab中的使用，进行逐步线性回归，旋转机械二维全息谱计算，BP神经网络用于函数拟合与模式识别。- Interpolation and fitting, solution of equations, data analysis, Including the generalized cross-correlation function GCC time delay estimation, Modern signal processing used in the spectral estimation in matlab, Stepwise linear regression, Rotating machinery 2-d holographic spectrum calculation, BP neural network function fitting and pattern recognition.
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Size: 6144 |
Author: qcajrm |
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Description: Dimensional phononic crystals FDTD method calculation examples band gap, Partial least squares method, Stepwise linear regression.
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Size: 7168 |
Author: naitanfing
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Description: Multirate signal processing, It contains positional PID algorithm, integral separate PID, Stepwise linear regression.
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Size: 4096 |
Author: buifieyiejun
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Description: Stepwise linear regression, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, High-resolution array signal processing estimates.
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Size: 7168 |
Author: leijuiyiuhan
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Description: Convolution operation is intended to signal and image rendering, Modern signal processing used in the spectral estimation in matlab, Stepwise linear regression.
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Size: 5120 |
Author: peifeigeng
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Description: Is a practical method of path planning, music higher order spectral analysis algorithm, Stepwise linear regression.
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Size: 7168 |
Author: sjkmet
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Description: 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 regression is to introduce the variables one by one into the model. Each time an explanatory variable is introduced, the F-test must be carried out. The explanatory variables that have been selected must be t-checked one by one. When the original explanatory variable is introduced due to the following explanatory variables When it is no longer significant, delete it. To ensure that only the significant variables are included in the regression equation before each new variable is introduced. This is an iterative process until neither significant explanatory variables are included in the regression equation nor are insignificant explanatory variables excluded from the regression equation. In order to ensure that the final set of explanatory variables is optimal. This document combined with examples using MATLAB to achieve gradual regression process.)
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Size: 9216 |
Author: 0yu0 |
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Description: 包含一元线性回归分析、多元线性回归分析、逐步回归分析、非线性回归分析、主成分分析、因子分析、层次聚类分析、判别分析、自相关分析和自回归分析的全套Matlab源代码(MATLAB source code including linear regression analysis, multiple linear regression analysis, stepwise regression analysis, non-linear regression analysis, principal component analysis, factor analysis, hierarchical clustering analysis, discriminant analysis, autocorrelation analysis and autoregressive analysis)
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Size: 25600 |
Author: bst100 |
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