Estimation in a fluctuating medium and power-law distributions

Autores
Vignat, Christophe; Plastino, Ángel Luis
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We show how recent results by Bening and Korolev in the context of estimation, when linked with a classical result of Fisher concerning the negative binomial distribution, can be used to explain the ubiquity of power-law probability distributions. Beck, Cohen and others have provided plausible mechanisms explaining how power-law probability distributions naturally emerge in scenarios characterized by either finite dimension or fluctuation effects. This Letter tries to further contribute to such an idea. As an application, a new and multivariate version of the central limit theorem is obtained that provides a convenient alternative to the one recently presented in [S. Umarov, C. Tsallis, S. Steinberg, cond-mat/0603593].
Facultad de Ciencias Exactas
Materia
Ciencias Exactas
Física
Quantum statistical mechanics
Boson systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/129688

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network_name_str SEDICI (UNLP)
spelling Estimation in a fluctuating medium and power-law distributionsVignat, ChristophePlastino, Ángel LuisCiencias ExactasFísicaQuantum statistical mechanicsBoson systemsWe show how recent results by Bening and Korolev in the context of estimation, when linked with a classical result of Fisher concerning the negative binomial distribution, can be used to explain the ubiquity of power-law probability distributions. Beck, Cohen and others have provided plausible mechanisms explaining how power-law probability distributions naturally emerge in scenarios characterized by either finite dimension or fluctuation effects. This Letter tries to further contribute to such an idea. As an application, a new and multivariate version of the central limit theorem is obtained that provides a convenient alternative to the one recently presented in [S. Umarov, C. Tsallis, S. Steinberg, cond-mat/0603593].Facultad de Ciencias Exactas2007-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf415-418http://sedici.unlp.edu.ar/handle/10915/129688enginfo:eu-repo/semantics/altIdentifier/issn/0375-9601info:eu-repo/semantics/altIdentifier/arxiv/cond-mat/0606162info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physleta.2006.07.005info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:23:08Zoai:sedici.unlp.edu.ar:10915/129688Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:23:08.775SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Estimation in a fluctuating medium and power-law distributions
title Estimation in a fluctuating medium and power-law distributions
spellingShingle Estimation in a fluctuating medium and power-law distributions
Vignat, Christophe
Ciencias Exactas
Física
Quantum statistical mechanics
Boson systems
title_short Estimation in a fluctuating medium and power-law distributions
title_full Estimation in a fluctuating medium and power-law distributions
title_fullStr Estimation in a fluctuating medium and power-law distributions
title_full_unstemmed Estimation in a fluctuating medium and power-law distributions
title_sort Estimation in a fluctuating medium and power-law distributions
dc.creator.none.fl_str_mv Vignat, Christophe
Plastino, Ángel Luis
author Vignat, Christophe
author_facet Vignat, Christophe
Plastino, Ángel Luis
author_role author
author2 Plastino, Ángel Luis
author2_role author
dc.subject.none.fl_str_mv Ciencias Exactas
Física
Quantum statistical mechanics
Boson systems
topic Ciencias Exactas
Física
Quantum statistical mechanics
Boson systems
dc.description.none.fl_txt_mv We show how recent results by Bening and Korolev in the context of estimation, when linked with a classical result of Fisher concerning the negative binomial distribution, can be used to explain the ubiquity of power-law probability distributions. Beck, Cohen and others have provided plausible mechanisms explaining how power-law probability distributions naturally emerge in scenarios characterized by either finite dimension or fluctuation effects. This Letter tries to further contribute to such an idea. As an application, a new and multivariate version of the central limit theorem is obtained that provides a convenient alternative to the one recently presented in [S. Umarov, C. Tsallis, S. Steinberg, cond-mat/0603593].
Facultad de Ciencias Exactas
description We show how recent results by Bening and Korolev in the context of estimation, when linked with a classical result of Fisher concerning the negative binomial distribution, can be used to explain the ubiquity of power-law probability distributions. Beck, Cohen and others have provided plausible mechanisms explaining how power-law probability distributions naturally emerge in scenarios characterized by either finite dimension or fluctuation effects. This Letter tries to further contribute to such an idea. As an application, a new and multivariate version of the central limit theorem is obtained that provides a convenient alternative to the one recently presented in [S. Umarov, C. Tsallis, S. Steinberg, cond-mat/0603593].
publishDate 2007
dc.date.none.fl_str_mv 2007-01
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/129688
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/arxiv/cond-mat/0606162
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physleta.2006.07.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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