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pro vyhledávání: '"R´enyi entropy"'
Akademický článek
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Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 15, Iss 4 (2016)
A new generalization of the Weibull-Pareto distribution called the exponentiated Weibull-Pareto distribution is defined and studied. Various structural properties including ordinary moments, quantiles, R´enyi and q-entropies and order statistics are
Externí odkaz:
https://doaj.org/article/6e469d686aa14a4a95a79a9104c9dec2
Autor:
Maarten Baeten, Jan Naudts
Publikováno v:
Entropy, Vol 13, Iss 6, Pp 1186-1199 (2011)
We give two arguments why the thermodynamic entropy of non-extensive systems involves R´enyi’s entropy function rather than that of Tsallis. The first argument is that the temperature of the configurational subsystem of a mono-atomic gas is equal
Externí odkaz:
https://doaj.org/article/7bb186b4d8f542c682cee081156203c2
Non-Extensivity of the Configurational Density Distribution in the Classical Microcanonical Ensemble
Autor:
Maarten Baeten, Jan Naudts
Publikováno v:
Entropy, Vol 11, Iss 2, Pp 285-294 (2009)
We show that the configurational probability distribution of a classical gas always belongs to the q-exponential family. One of the consequences of this observation is that the thermodynamics of the configurational subsystem is uniquely determined up
Externí odkaz:
https://doaj.org/article/5663d5a60b394adf942eccd43faecce1
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 13, Iss 1 (2014)
We introduce a five-parameter continuous model, called the McDonald log-logistic distribution, to extend the two-parameter log-logistic distribution. Some structural properties of this new distribution such as reliability measures and entropies are o
Externí odkaz:
https://doaj.org/article/d177c72ce76c44a898e78509f5624ce8
Akademický článek
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Autor:
Jan Naudts, Maarten Baeten
Publikováno v:
Entropy
Volume 13
Issue 6
Pages 1186-1199
Entropy: an international and interdisciplinary journal of entropy and information studies
Entropy, Vol 13, Iss 6, Pp 1186-1199 (2011)
Volume 13
Issue 6
Pages 1186-1199
Entropy: an international and interdisciplinary journal of entropy and information studies
Entropy, Vol 13, Iss 6, Pp 1186-1199 (2011)
We study the configurational probability distribution of a mono-atomic gas with a finite number of particles N in the micro-canonical ensemble. We give two arguments why the thermodynamic entropy of the configurational subsystem involves Renyi's entr
Autor:
Référent de l'équipe AMACC - Laboratoire GREYC - UMR6072, Référent AMACC
Based on rescaling by some suitable sequence instead of the number of time units, the usual notion of divergence rates is here extended to define and determine meaningful generalized divergence rates. The suitable rescaling is naturally induced by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::0c78b5173ab3d9c8da5e6bef2f0797d4
https://hal.archives-ouvertes.fr/hal-01153300
https://hal.archives-ouvertes.fr/hal-01153300
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 15, Iss 4 (2016)
A new generalization of the Weibull-Pareto distribution called the exponentiated Weibull-Pareto distribution is defined and studied. Various structural properties including ordinary moments, quantiles, R´enyi and q-entropies and order statistics are
Publikováno v:
ResearcherID
Multichannel electroencephalogram (EEG) signals are known to be highly non-stationary and often multi-component. A new method for its complexity, in terms of number of signal components extracted from its time-frequency distributions, has been propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb83e5e6460091102841d4a0c5e971c8
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000387549600022&KeyUID=WOS:000387549600022
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000387549600022&KeyUID=WOS:000387549600022