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LineFit is a port, with an additional forecast function, of the perl module Statistics::LineFit. LineFit does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.)
The main program is Main_sound_and_vibs.m. Up to 100 metrics are for each of sound, hand arm vibrations, whole body vibrations, and motion sickness. Main_sound_and_vibs calls the primary depedent function
Standard GLCM textural analysis often doesn't give good results unless a large number of global classes are used (and using a large number of classes brings other problems). Using local classes helps, but the results are sensitive to noise. This...
The package comprises of a graphical utility to place uniform B-spline control points and see how the B-spline is redrawn as control points or control point weights are adjusted, and functions to estimate B-splines with known knot vector, given a...
Dew Lab Studio contains: MtxVec library with Stats Master, DSP Master and Data Miner add ons.MtxVec v2.0 feature list:object oriented numerical library for Delphi and C++ Builder users and .NETComplete support for complex numbers for all functions...
The Statistics for MtxVec introduces basic and more advanced routines for statistical analysis. Since it's a MtxVec Add-On package it requires the latest MtxVec version installed on your machine.Statistics for MtxVec demonstrates how easy, fast...
As input data, one has
A: a 2xN or 3xN matrix whos columns are the coordinates of N source points.
B: a 2xN or 3xN matrix whos columns are the coordinates of N target points.
Cohen's kappa coefficient is a statistical measure of inter-rater reliability. It is generally thought to be a more robust measure than simple percent agreement calculation since Kappa takes into account the agreement occurring by chance.
This code fits makes a linear fit to a data set (using y =bx+a) where each data point
% has a different or constant standard deviation. Your data should have three or two columns.
% The first column should be the independent variable(x)...
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