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Description: 本书共分６篇，第１篇统计学基础知识与ＳＡＳ软件应用技巧，介绍了统计学的基本概念和学习方法、试验设计入门、统计描述、ＳＡＳ软件应用入门、编写ＳＡＳ实用程序的技巧、单变量统计分析和利用SAS／GRAPH模块绘制常用统计图的方法。第２篇试验设计与定量资料的统计分析，介绍了与ｔ检验、非参数检验和各种方差分析有关的试验设计和数据处理方法。第３篇试验设计与定性资料的统计分析，介绍了处理二维及高维列联表资料的各种统计分析 方法，包括卡方检验、Fisher的精确检验、典型相关分析、logistic回归模型和对数线性模型等内容。第４篇试验设计与回归分析，介绍了回归分析的种类和选用方法、简单直线回归、多项式回归、简单曲线回归、多元线性回归、协方差分析、直接试验设计及其资料的回归分析等有关内容。第５篇生存分析，介绍了生存资料的特点、生存时间函数和生存分析 方法的分类等基本概念；生存资料的非参数分析方法、ＣＯＸ模型分析方法和参数模型的回归分析方法。第６篇多元统计分析，介绍了主成分分析、因子分析、对应分析、聚类分析、判别分析、典型相关分析。-The book is divided into six, a statistically based knowledge and skills in SAS software applications, introduced the basic concepts in statistics and learning methods, experimental design entry, statistical description of SAS software application entry, to prepare SAS utility skills, single variable statistical analysis and use SAS/GRAPH mapping module commonly used statistical map. The first two experimental design and quantitative analysis of the statistical data, presented with t-test, non- parametric tests and the analysis of variance test design and data processing methods. The first three test design and qualitative information on the statistical analysis of two-dimensional processing and high-dimensional data table shown in the various statistical analysis methods, including chi
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Author: 苏吉 |
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Description: 一、 一元三次回归方程 CubicMultinomialRegress.cs
方程模型为Y=a*X(3)+b*X(2)+c*X(1)+d
public override double[] buildFormula()
得到系数数组，存放顺序与模型系数相反，即该数组中系数的值依次是d,c,b,a。
以后所述所有模型的系数存放均与此相同（多元线性回归方程除外）。
public override double forecast(double x)
预测函数，根据模型得到预测结果
public override double computeR2()
计算相关系数（决定系数），系数越接近1，数据越满足该模型。
-1, one dollar three regression equations CubicMultinomialRegress.cs equation model for Y = a* X (3)+ B* X (2)+ C* X (1)+ Dpublic override double [] buildFormula () get coefficient array, store order and model coefficients contrary, that is, the array is followed by the value of coefficient d, c, b, a. After all the model described in the coefficient of storage are the same (except for multiple linear regression equation). public override double forecast (double x) prediction function, according to the results of model prediction public override double computeR2 () calculated the correlation coefficient (determination coefficient), coefficient of the closer one, the data satisfy the model more.
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Author: wangyinghao |
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Description: SPSS是世界最为优秀的统计工具之一,本书内容包括一般线性模型\混合线性模型\多元线性回归与曲线拟合\分类资料的回归分析\因子分析与对应等.-SPSS is the world
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Author: 黄源 |
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Description: 一款进行多元线性回归分析软件.可以完成多元回归模型的参数估计和统计检验,可以通过Excel获取外部数据,并且能够把计算结果保存成xls文件，计算结果的差方图-Conducted a multiple linear regression analysis software. Can complete multiple regression model parameters estimates and statistical test, you can access external data through Excel and be able to save the results into the calculation xls files, calculating the difference between the results of Quadrant
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Author: linlin |
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Description: 统计学习的Matlab程序:包括各种假设检验,模型识别和线性回归等.-The Matlab statistical learning procedures: including a variety of hypothesis testing, model identification and linear regression.
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Size: 11264 |
Author: lin |
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Description: 多元线性回归,包含了具体的检验系数和输入输出，很有用-MultiLineRegression
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Size: 1024 |
Author: 张华 |
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Description: 模糊最小一乘线性回归 冯启磊 曾文艺 探讨模型的线性规划转化成matla矩阵求解 -FUZZY LEAST ABSoLUTE LINEAR REGRESSION
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Author: 晓柳 |
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Description: 多元线性回归模型，结合主成分分析原理，完美的运用matlab编程-Multiple linear regression model, combined with principal component analysis theory, the perfect use of matlab programming! !
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Author: 胡晓明 |
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Description: 用c#编写的多元线性回归模型，一元当然也可以用-With c# written in a multiple linear regression model, a dollar of course, can also be used
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Size: 22528 |
Author: zhaiweixing |
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Description: 款进行多元线性回归分析软件.可以完成多元回归模型的参数估计和统计检验,可以通过Excel获取外部数据,并且能够把计算结果保存成xls文件，计算结果的差方图--Conducted a multiple linear regression analysis software. Can complete multiple regression model parameters estimates and statistical test, you can access external data through Excel and be able to save the results into the calculation xls files, calculating the difference between the results of Quadrant
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Author: 大牛 |
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Description: 最小二乘法（OLS）和线性回归模型.ppt
内容含有具体计算过程详解、实例-Least squares (OLS) and linear regression model. Ppt Elaboration on the Course content includes specific calculations, examples
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Size: 224256 |
Author: kong |
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Description: 一种综合评价方法，跟主成分分析类似，但效果更好(A comprehensive evaluation method, similar to principal component analysis, but better)
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Author: 柳叶儿106
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Description: 通过已知数据建立对应模型，找出数据集的最优线性关系来预测或估计需要的因变量。(The corresponding model is established by the known data, and the optimal linear relation of the data set is found to predict or estimate the dependent variable.)
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Author: 赵嘉慧
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Description: Andrew Ng Cousera 机器学习线性回归，并用它来研究不同偏置方差性能模型，源代码以及说明文档。(Andrew Ng Cousera's machine learning linear regression and use it to study models with different bias-variance properties and source code and document.)
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Size: 228352 |
Author: mark198033
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Description: 关于机器学习的线性回归模型matlab主程序。(Matlab main program of linear regression model for machine learning.)
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Size: 3072 |
Author: 木鱼123
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Description: 简单的线性回归模型的matlab程序，可修改矩阵的相关数据。(Simple linear regression model)
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Size: 219136 |
Author: 哈哈哈你好
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Description: 线性回归模型，单变量，多变量，基本统计分析，相关系数分析，QQ图(Linear regression, single variable, multi-variable)
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Author: caoyangc
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Description: 用PYTHON语言实现线性回归，一方面，线性回归所能够模拟的关系其实远不止线性关系。线性回归中的“线性”指的是系数的线性，而通过对特征的非线性变换，以及广义线性模型的推广，输出和特征之间的函数关系可以是高度非线性的。另一方面，也是更为重要的一点，线性模型的易解释性使得它在物理学、经济学、商学等领域中占据了难以取代的地位。(Linear regression in PYTHON language)
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Size: 3072 |
Author: 遗憾lo |
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Description: 利用R语言实现了线性回归和逻辑回归，提供了数据和代码(Use R language to achieve linear regression and logistic regression, and provide data and code.)
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Size: 46080 |
Author: 戴帽子的鱼 |
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Description: 线性回归模型与诊断
数据说明：本数据是一份汽车贷款数据(linear regression lesson)
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Size: 2816000 |
Author: BOURNECHEN |
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