articleSIAM ReviewNov 4, 2009GREEN OA

Power-Law Distributions in Empirical Data

ACAaron ClausetCRCosma Rohilla ShaliziMEM. E. J. Newman
Indexed inarxivcrossref

Abstract

Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately, the detection and characterization of power laws is complicated by the large fluctuations that occur in the tail of the distribution -- the part of the distribution representing large but rare events -- and by the difficulty of identifying the range over which power-law behavior holds. Commonly used methods for analyzing power-law data, such as least-squares fitting, can produce substantially inaccurate estimates of parameters for power-law distributions, and even in cases where such methods return accurate answers they are still…

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Authors

3
  • AC
    Aaron ClausetCorresponding
  • CR
    Cosma Rohilla Shalizi
  • ME
    M. E. J. Newman

Topics & keywords

Keywords
  • Range (aeronautics)
  • Statistic
  • Empirical distribution function
  • Statistical hypothesis testing
  • Power law
  • Distribution (mathematics)
  • Probability distribution
  • Test statistic
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