Parameter estimation for power-law distributions by maximum likelihood methods

Abstract.Distributions following a power-law are an ubiquitous phenomenon. Methods for determining the exponent of a power-law tail by graphical means are often used in practice but are intrinsically unreliable. Maximum likelihood estimators for the exponent are a mathematically sound alternative to graphical methods.

• Publication year

  2007

• Venue

  The European Physical Journal B

• Publication date

  2007-04-14

• Fields of study

  Mathematics, Physics

• Identifiers
  DOI 10.1140/epjb/e2007-00219-yarXiv 0704.1867
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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