Description: 907求多元线形回归方程及预报
一.功能 x1,x2, x3,………..xp为自变量,Y为随机变量,
求线形回归方程
Y= + +…+ +
其中 。。。, 为常数, 是随机变量,且 —N(0, )
来描述Y与X的变化规律。并用T检验法检验线形回归是否显著。
如果线性回归显著,可用经验回归平面方程对Y作出预报,并给出预报值的置信区间。
-907 for multiple linear regression equation and a prediction. Functional x1, x2, x3, ... .. xp as variables, Y random variables, linear regression equation for Y = ... which. . . For the constant, random variables and-N (0), to describe the X and Y changes. Using T-test whether linear regression significantly. If the linear regression notable experience available on the return plane equation Y forecasts, and gives the predicted confidence interval. Platform: |
Size: 62464 |
Author:mark |
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Description: 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. Platform: |
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Description: 用于线性回归的C语言源程序,经过调试,没问题-linear regression for the C-language source, after debugging, no problem Platform: |
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Description: 用C语言如何编写多元线性回归,请给予相关提示-C language how to prepare multiple linear regression, give relevant suggest Platform: |
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Description: 实现一元线性回归分析并进行F,t检验,以便对得出的回归方程进行线性显著性分析-achieving a linear regression analysis and F, t test, in order to come to the linear regression equation significantly Analysis Platform: |
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Author:张松 |
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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 Platform: |
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Author:linlin |
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Description: 首先介绍多元线性回归公式(即最小二乘法计算公式),然后进行VB编程,实现多次曲线拟合算法。-First introduced multiple linear regression formula (ie, least-squares method to calculate the formula), and then proceed to VB programming, curve fitting algorithm to achieve on many occasions. Platform: |
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Description: 利用IDl 编写的一元线性回归程序,其中利用了矩阵来求解线性回归的系数,具有很好的参考价值-IDL prepared using linear regression procedures, which use a matrix to solve the linear regression coefficient, an excellent reference value Platform: |
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Description: 对随机变量以自变量的几组观测数据作多元线性回归(求得平均标准偏差,复相关系数和回归平方和)-Of random variables since the variables in several groups of observation data for multiple linear regression (obtained an average standard deviation, correlation coefficient and regression sum of squares) Platform: |
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Description: 最小二乘法拟合一元线性回归函数,并进行显著性和拟合优度检验。-Least squares fit linear regression functions, and for significance and goodness of fit test. Platform: |
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Description: 数据回归分析包括一元线性回归,一元非线性回归,多元线性及广义线性回归,多元非线性回归(Data regression analysis including a yuan linear regression, a yuan of nonlinear regression, multiple linear and generalized linear regression and multivariate nonlinear regression) Platform: |
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