On the entropy flows to disorder

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dc.creatorDodson, C. T. J.
dc.date2008-11-26
dc.date2009-05-22
dc.date.accessioned2026-07-07T13:16:58Z
dc.date.available2026-07-07T13:16:58Z
dc.descriptionGamma distributions, which contain the exponential as a special case, have a distinguished place in the representation of near-Poisson randomness for statistical processes; typically, they represent distributions of spacings between events or voids among objects. Here we look at the properties of the Shannon entropy function and calculate its corresponding flow curves. We consider univariate and bivariate gamma, as well as Weibull distributions which also include exponential distributions.
dc.descriptionEnlarged version of original. 11 pages, 6 figures, 15 references
dc.identifierhttps://arxiv.org/abs/0811.4318
dc.identifierhttp://arxiv.org/abs/0811.4318
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/230966
dc.subjectMathematical Physics
dc.subject82-08; 15A52
dc.titleOn the entropy flows to disorder
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