Testing universality and goodness-of-fit test of power-law distributions

Anna Deluca; Pere Puig; Álvaro Corral

doi:10.1007/978-3-319-08138-0-3

Testing universality and goodness-of-fit test of power-law distributions

Anna Deluca, Pere Puig, Álvaro Corral

Department of Mathematics

Research output: Chapter in Book › Chapter › Research › peer-review

1 Citation (Scopus)

Abstract

© 2014 Springer International Publishing Switzerland. Power-law distributions contain precious information about a large variety of physical processes [10]. Although there are sound theoretical grounds for these distributions, the empirical evidence giving support to power laws has been traditionally weak.

Original language	English
Title of host publication	Trends in Mathematics
Pages	13-18
Number of pages	5
Volume	2
ISBN (Electronic)	2297-024X
DOIs	https://doi.org/10.1007/978-3-319-08138-0-3
Publication status	Published - 1 Jan 2014

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title = "Testing universality and goodness-of-fit test of power-law distributions",

abstract = "{\textcopyright} 2014 Springer International Publishing Switzerland. Power-law distributions contain precious information about a large variety of physical processes [10]. Although there are sound theoretical grounds for these distributions, the empirical evidence giving support to power laws has been traditionally weak.",

author = "Anna Deluca and Pere Puig and {\'A}lvaro Corral",

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N2 - © 2014 Springer International Publishing Switzerland. Power-law distributions contain precious information about a large variety of physical processes [10]. Although there are sound theoretical grounds for these distributions, the empirical evidence giving support to power laws has been traditionally weak.

AB - © 2014 Springer International Publishing Switzerland. Power-law distributions contain precious information about a large variety of physical processes [10]. Although there are sound theoretical grounds for these distributions, the empirical evidence giving support to power laws has been traditionally weak.

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EP - 18

BT - Trends in Mathematics

ER -

Testing universality and goodness-of-fit test of power-law distributions

Abstract

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