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Powerlaw: a Python package for analysis of heavy-tailed distributions

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arxiv 1305.0215 v3 pith:7XQF4B4G submitted 2013-05-01 physics.data-an

Powerlaw: a Python package for analysis of heavy-tailed distributions

classification physics.data-an
keywords distributionsstatisticalfittingpackagepoweranalysisavailabledeveloped
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Power laws are theoretically interesting probability distributions that are also frequently used to describe empirical data. In recent years effective statistical methods for fitting power laws have been developed, but appropriate use of these techniques requires significant programming and statistical insight. In order to greatly decrease the barriers to using good statistical methods for fitting power law distributions, we developed the powerlaw Python package. This software package provides easy commands for basic fitting and statistical analysis of distributions. Notably, it also seeks to support a variety of user needs by being exhaustive in the options available to the user. The source code is publicly available and easily extensible.

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