Pearson 3 distribution library

A package of the most common functions for the Pearson 3 distribution
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Updated Fri, 26 Aug 2022 03:51:11 +0000

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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 (2024). Pearson 3 distribution library (https://www.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
Acknowledgements

Inspired: Extreme values statistical analysis library

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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