Pearson 3 distribution library

Version 1.0.4 (6.62 KB) by Guillaume Talbot
A package of the most common functions for the Pearson 3 distribution
5.0
(3)
320 Downloads
Updated 26 Aug 2022

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For the Pearson 3 distribution
-Estimate the parameters of the distribution for a given sample
-Compute the probability density function (pdf)
-Compute the cumulative distribution function (cdf)
-Compute the inverse of the cumulative distribution function
-Generate a random sample

Cite As

Guillaume Talbot (2026). Pearson 3 distribution library (https://nl.mathworks.com/matlabcentral/fileexchange/87629-pearson-3-distribution-library), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired: Extreme values statistical analysis library

Version Published Release Notes
1.0.4

Fixed some description errors in the help sections
1.0.3

-Statiscal Toolbox isn't necessary anymore
- Harmonisation with my Extreme Values Analysis library
1.0.2

-Small corrections in the help section
-Improved the computation of the L-moments in the Pearson3_fit function. Replaced the "for loop" by a vectorization
-Added an example script
1.0.1

Added image
1.0.0