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Linear Regression 1.00

  Date Added: August 21, 2008  |  Visits: 2.319

Linear Regression

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Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.

Requirements: No special requirements
Platforms: Windows 98, Windows Me, Windows NT 4.x, Windows 2000, Windows XP
Keyword: Bivariate Regression Correlation Coefficient Downloads Free Freeware Least-squares Linear Regression Math Mathematics Maths Multivariate Regression Nonlinear Regression Regression Analysis Regression Curve Regression Parameters Regression Surface Scatter Diagram Software Standard Error Of Estimate
Users rating: 0/10

License: Shareware Cost: $15.00 USD Size: 1.71 MB
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Libraries  -  Statistics::LineFit 0.07
Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) =...
24.58 KB  
Development Tools  -  weighted total least squares for mutually correlated coordinates 1.0
The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and...
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10 KB  
Libraries  -  Statistics::GaussHelmert 0.05
Statistics::GaussHelmert is a general weighted least squares estimation module. SYNOPSIS use Statistics::GaussHelmert; # create an empty model my $estimation = new Statistics::GaussHelmert; # setup the model given observations $y,...
13.31 KB  
Development Tools  -  Total Least Squares Method 1.0
We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:- linear regression model- nonlinear regression...
10 KB  
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