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Multiple linear regression analysis, multivariate regression analysis can be calculated parameters and various statistics
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independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each othe
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PCA应用于数据矩阵降维，压缩数据！广泛应用于各种行业。Author: F. Murtagh- Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck,
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计算多变量的经验正交函数分解， 常用于海洋或气象的数据分析，简单易用。-Calculate multivariate empirical orthogonal function decomposition, commonly used in the ocean or meteorological data analysis.
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进行多元一次线性回归分析 可用于数据关联计算-A multivariate linear regression analysis can be used to calculate the associated data
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用matlab做线性曲线回归分析 曲线拟合 matlab 多元线性回归分析 -Using matlab to do a linear regression curve fitting curve matlab multivariate linear regression analysis
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多变量多尺度熵分析程序，对研究信号的来说，很重要，代码来自一学者网站-Multivariate multiscale entropy analysis program for the study of the signal, it is important, a scholar website code
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MATLAB uses column-oriented analysis for multivariate statistical data. Each
column in a data set represents a variable and each row an observation.
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Fisher是多元统计分析的常用的方法之一，判别分析方法可在各种领域得到应用。一般用于确定属于一个可观测量是什么类型。-Fisher method is one of the common methods of multivariate statistical analysis, discriminant analysis method can be applied in various fields. Usually used to determine what type of a obser
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多元变化检测（MAD）、最大自相关因子（MAF）、典型相关分析（CCA）、主成份分析（PCA）的Matlab代码-Matlab code to perform multivariate alteration detection (MAD) analysis, maximum autocorrelation factor (MAF) analysis, canonical correlation analysis (CCA) and principal component analysis (PC
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分类工具包，含有多个分类算法的matlab源程序，适用于类别数据的分类和可视化-The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discrimin
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基于时频的多元数据同步挤压分析，变换的多变量时频表示的基础上，执行同步挤压。-When multivariate data base frequency synchronization squeeze analysis, multivariate conversion frequency representation based on the synchronization squeeze.
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主元分析法(PCA)是目前基于多元统计过程控制的故障诊断技术的核心，是基于原始数据空间，通过构造一组新的潜隐变量来降低原始数据空间的维数，再从新的映射空间抽取主要变化信息，提取统计特征，从而构成对原始数据空间特性的理解。-Principal component analysis (PCA) is based fault diagnosis technique multivariate statistical process control at the core of the current,
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MATLAB仿真程序，基于多元统计方法的3D MIMO三维空间域信道建模研究。将2D MIMO信道建模推广到三维空间域信道建模，利用MIMO信道的统计特性，建立一种新的3D MIMO信道模型。用MATLAB做相应的仿真实验，对所建信道模型做性能分析。-MATLAB simulation program, based on multivariate statistical modeling method of three-dimensional spatial domain 3D MIMO cha
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pca主成分分析，在多变量选择上效果较好，对数据的主成分进行分析，常用于分类、聚类、实验数据处理-Pca principal component analysis in multivariate selection effect is good, principal component analysis of data, often used in classification, clustering, experimental data processing
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多分类线性判别分析，主要用于近红外及红外光谱等多元数据的模式识别问题-Multi-classification linear discriminant analysis, mainly used for pattern recognition problems near infrared and infrared spectroscopy, multivariate data
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时域模态分析方法中的多元自回归模型，用于识别结构的模态参数。-Multivariate autoregressive model of time domain modal analysis method, is used to identify structural modal parameters.
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主成分分析，将多个变量通过线性变换以选出较少个数重要变量的一种多元统计分析方法。-Principal Component Analysis(PCA)，a multivariate statistical analysis method, which is based on the linear transformation of multiple variables to fewer important variables.
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偏最小二乘法是一种新型的多元统计数据分析方法，它于1983年由伍德(S.Wold)和阿巴诺(C.Albano)等人首次提出。近几十年来，它在理论、方法和应用方面都得到了迅速的发展。-Partial least squares method is a novel multivariate statistical data analysis method, which was first proposed in 1983 by the Wood (S.Wold) and Abano (C.Alban
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多元统计分析方法在上市公司绩效评价体系建立中的应用_谢明旸 多元统计分析方法在上市公司绩效评价体系建立中的应用_谢明旸 -Multivariate statistical analysis method in the Performance of Listed Companies Evaluation System of _ Xie Ming Yang multivariate statistical analysis method in the Performance of Listed Co
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