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

Departament de Matemàtiques

Producció científica: Capítol de llibre › Capítol › Recerca › Avaluat per experts

1 Citació (Scopus)

Resum

© 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.

Idioma original	Anglès
Títol de la publicació	Trends in Mathematics
Pàgines	13-18
Nombre de pàgines	5
Volum	2
ISBN (electrònic)	2297-024X
DOIs	https://doi.org/10.1007/978-3-319-08138-0-3
Estat de la publicació	Publicada - 1 de gen. 2014

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

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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.",

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AU - Puig, Pere

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

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