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updated 12 months ago

Regression Utilities by Joe Henning

Joe Henning

A variety of regression utilities (regression, statistics, least squares)

cookdist(x, y, sigy, c, basis, plotflag)

irsvdregr(x, y, c, k)

ladratregr(x, y, sigy, p, q, monflag)

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updated almost 2 years ago

Total Least Squares Method by Ivo Petras

Ivo Petras

Mathematical method known as total least squares or orthogonal regression or error-in-variables. (total least squares, orthogonal regression, errorinvariables)

[Err, min_param]=numerFminD(fun, p, LBa, UBa, xdata, ydat...

[Err, min_param]=numerFminS(fun, p, LBa, UBa, xdata, ydata)

[F, Srez, Scel]=statindexes(XData, YData, a, b)

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updated 3 years ago

Orthogonal Linear Regression in 3D-space by using Principal Components Analysis by Ivo Petras

Ivo Petras

Orthogonal Linear Regression by using PCA (statistics, probability, total least squares)

fit_3D_data(XData, YData, ZData, geometry, visualization,...

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updated almost 4 years ago

Fitting with MATLAB: Statistics, Optimization, and Curve Fitting by Richard Willey

Richard Willey

Demo code and data for the "Fitting with MATLAB" webinar (poisson regression, logistic regression, orthogonal regression)

evalTumorWeight(t , p)

objFcn(p , tObs, drug)

CensoredData.m

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updated 4 years ago

weighted total least squares for mutually correlated coordinates by Mathias Anton

Mathias Anton

Weighted total least squares line fit taking correlations between x and y pairs into account. (mathematics, statistics, interpolation)

[a,b,alpha,p,chiopt,Cab,Calphap]=...

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updated 7 years ago

weighted total least squares straight line fit by Mathias Anton

Mathias Anton

Calculates the parameters (and their uncertainties) to data with uncertainties in both coordinates (approximation, interpolation, total least squares)

[a,b,alpha,p,chiopt,Cab,Calphap]=...

pearson_york_testdata.m

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