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Debugging by Joe Romano
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abhranildas committed Dec 14, 2021
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Binary file modified Generalized chi-square distribution.mltbx
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10 changes: 5 additions & 5 deletions doc/html/GettingStarted.html

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2 changes: 1 addition & 1 deletion gx2.prj
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<param.summary>Compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.</param.summary>
<param.description>The generalized chi-square variable is a quadratic form of a normal variable, or equivalently, a linear sum of independent non-central chi-square variables and a normal variable. Try the Getting Started guide for a quick demo of all the functions.</param.description>
<param.screenshot>${PROJECT_ROOT}\gx2_icon.png</param.screenshot>
<param.version>1.8.6</param.version>
<param.version>1.8.7</param.version>
<param.output>${PROJECT_ROOT}\Generalized chi-square distribution.mltbx</param.output>
<param.products.name>
<item>Statistics and Machine Learning Toolbox</item>
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6 changes: 3 additions & 3 deletions gx2pdf.m
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% s sd of normal term
%
% Optional name-value inputs:
% method 'conv' (default) for convolving noncentral chi-square
% pdf's, or 'diff' for differentiating the generalized
% chi-square cdf (slower)
% method 'diff' (default) for differentiating the generalized
% chi-square cdf, or 'conv' for convolving noncentral
% chi-square pdf's
% dx step-size of fineness (for convolving or differentiating)
% AbsTol absolute error tolerance for the output when using 'diff'
% RelTol relative error tolerance for the output when using 'diff'
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