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Generalized chi-square distribution

version 1.8.2 (849 KB) by Abhranil Das
Compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.

97 Downloads

Updated 12 May 2021

From GitHub

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Matlab toolbox to compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.

Author

Abhranil Das, Center for Perceptual Systems, The University of Texas at Austin.

Bugs/comments/questions/suggestions to abhranil.das@utexas.edu.

If you use this code, please cite: A method to integrate and classify normal distributions.

Installation

Within Matlab's Home tab, select Add-Ons > Get Add-Ons > Search for 'Generalized chi-square distribution' and install.

Quick Start

After installation, begin with the Getting Started live script with interactive examples, or, at any time, go to Matlab Home tab > Add-Ons > Manage Add-Ons > click the three dots next to this toolbox > View Getting Started Guide

Documentation

For function help, type:

doc gx2stat
doc gx2rnd
doc gx2cdf
doc gx2cdf_davies
doc gx2cdf_imhof
doc gx2cdf_ruben
doc gx2pdf
doc gx2inv
doc gx2_params_norm_quad 

Cite As

A method to integrate and classify normal distributions. Abhranil Das and Wilson S Geisler (2020, arXiv 2012.14331)

MATLAB Release Compatibility
Created with R2020b
Compatible with R2020a and later releases
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.