Description: 多元逐步回归算法,在matlab软件中的运用,简单实用 -multiple stepwise regression algorithm in Matlab software on the use of simple and practical Platform: |
Size: 2762 |
Author:diandian |
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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. Platform: |
Size: 283648 |
Author:梁建军 |
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Description: 多元逐步回归算法,在matlab软件中的运用,简单实用 -multiple stepwise regression algorithm in Matlab software on the use of simple and practical Platform: |
Size: 2048 |
Author:diandian |
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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 Platform: |
Size: 15360 |
Author:tangshx |
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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 Platform: |
Size: 863232 |
Author:吴明岩 |
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Description: 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 Platform: |
Size: 2048 |
Author:cb |
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Description: 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 Platform: |
Size: 3072 |
Author:雷杨娜 |
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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 Platform: |
Size: 624640 |
Author:林云龙 |
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Description: 利用matlab多元逐步回归分析方法建立初馏点温度的数学模型-Use of matlab multiple stepwise regression analysis method to establish early mathematical model of temperature at fractions Platform: |
Size: 1024 |
Author:苏涛 |
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Description: 有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等-All algorithms related to regression analysis, including a detailed description and the specific principles matlab code, it is suitable for beginners to use, and related engineering personnel reference which contains a linear regression, least squares estimation method, significant test, multiple linear regression using the regression model to predict, nonlinear regression, stepwise regression, etc. Platform: |
Size: 256000 |
Author:曹清云 |
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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. Platform: |
Size: 6144 |
Author:qcajrm |
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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.) Platform: |
Size: 9216 |
Author:0yu0 |
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