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Powerlaw: A Python Package For Analysis Of Heavy-Tailed Distributions

PLOS ONE, no. 1 (2014): e85777-e85777

Cited: 235|Views23
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Abstract

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 decrea...More

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