qGaussian: Tools to Explore Applications of Tsallis Statistics
Data Analysis, Statistics and Probability
2017-03-21 v1
Abstract
q-Gaussian distribution appear in many science areas where we can find systems that could be described within a nonextensive framework. Usually, a way to assert that these systems belongs to nonextensive framework is by means of numerical data analysis. To this end, we implement random number generator for q-Gaussian distribution, while we present how to computing its probability density function, cumulative density function and quantile function besides a tail weight measurement using robust statistics.
Keywords
Cite
@article{arxiv.1703.06172,
title = {qGaussian: Tools to Explore Applications of Tsallis Statistics},
author = {Wagner S. de Lima and Emerson L. de Santa Helena},
journal= {arXiv preprint arXiv:1703.06172},
year = {2017}
}