Results 51 to 60 of about 1,388 (153)
Measurement Invariance, Entropy, and Probability
Entropy, 2010 We show that the natural scaling of measurement for a particular problem defines the most likely probability distribution of observations taken from that measurement scale.
D. Eric Smith, Steven A. Frank
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Superstatistical analysis of sea-level fluctuations [PDF]
Physica A: Statistical Mechanics and its Applications, 2015 We perform a statistical analysis of measured time series of sea levels at various coastal locations in the UK, measured at time differences of 15 minutes over the past 20 years. When the astronomical tide and other deterministic components are subtracted, a stochastic signal remains which is well-described by a superstatistical model.
Rabassa, Pau, Beck, Christian
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Sensitivity of Regulated Streamflow Regimes to Interannual Climate Variability
Earth's Future, Volume 7, Issue 11, Page 1206-1219, November 2019., 2019 The simultaneous growth in climate‐driven alterations of the hydrologic cycle and global freshwater demand threatens the security of anthropogenic and ecologic uses of streamflows. However, the impact of damming on the response of river regimes to long‐term climate variability has not been fully disclosed yet.
Marta Ferrazzi +2 more
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First-passage time: a conception leading to superstatistics
Condensed Matter Physics, 2006 To describe the nonequilibrium states of a system we introduce a new thermodynamic parameter -- the lifetime (the first passage time) of a system. The statistical distributions that can be obtained out of the mesoscopic description characterizing the ...
V.V.Ryazanov, S.G.Shpyrko
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A Generalization of the Havrda‐Charvat and Tsallis Entropy and Its Axiomatic Characterization
Abstract and Applied Analysis, Volume 2014, Issue 1, 2014., 2014 In this communication, we characterize a measure of information of types α, β, and γ by taking certain axioms parallel to those considered earlier by Havrda and Charvat along with the recursive relation Hn(p1, …, pn; α, β, γ) ‐ Hn−1(p1 + p2, p3, …, pn; α, β, γ) = (A(α,γ)/(A(α,γ) − A(β,γ)))p1+p2α/γH2(p1/(p1+p2), p2/(p1 + p2); α,γ) + (A(β,γ)/(A(β,γ) − A ...
Satish Kumar +2 more
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Conditional maximum entropy and superstatistics [PDF]
Journal of Physics A: Mathematical and Theoretical, 2020 Abstract Superstatistics describes nonequilibrium steady states as superpositions of canonical ensembles with a probability distribution of temperatures. Rather than assume a certain distribution of temperature, recently [2020 J. Phys. A: Math. Theor. 53 045004] we have discussed general conditions under which a system
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On superstatistics and black hole quasinormal modes
Physics Letters B, 2022 It is known that using Boltzmann-Gibbs statistics, Bekenstein-Hawking entropy SHB, and the quasinormal modes of black holes, one finds that the lowest value of spin is jmin=1.
A. Martínez-Merino, M. Sabido
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New Journal of Physics, 2018 A considerable number of systems have recently been reported in which Brownian yet non-Gaussian dynamics was observed. These are processes characterised by a linear growth in time of the mean squared displacement, yet the probability density function of ...
Vittoria Sposini +4 more
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Journal of Physics: Complexity, 2023 We present a novel method for stochastic interpolation of sparsely sampled time signals based on a superstatistical random process generated from a multivariate Gaussian scale mixture.
Jeremiah Lübke +2 more
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Functional identities in superstatistics [PDF]
AIP Conference Proceedings, 2016 Superstatistics is a relatively new proposal to explain the success of non-Boltzmann-Gibbs probability distributions in out-of-equilibrium systems and non-extensive systems. It amounts to a marginalization of the inverse temperature parameter β = 1/kBT over the joint distribution P(x, β|S).
Humberto Loguercio +2 more
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