New power-law tailed distributions emerging in -statistics
arXiv:2203.01743 · doi:10.1209/0295-5075/133/10002
Abstract
Over the last two decades, it has been argued that the Lorentz transformation mechanism, which imposes the generalization of Newton's classical mechanics into Einstein's special relativity, implies a generalization, or deformation, of the ordinary statistical mechanics. The exponential function, which defines the Boltzmann's factor, emerges properly deformed within this formalism. Starting from this, so-called -deformed exponential function, we introduce new classes of statistical distributions emerging as the -deformed version of already known distribution as the Generalized Gamma, Weibull, Logistic which can be adopted in the analysis of statistical data that exhibit power-law tails.
References in corpus (10)
- Generalized entropies and corresponding holographic dark energy models
- Maximum entropy principle and power-law tailed distributions
- The k-statistics approach to epidemiology
- Power-law statistics and stellar rotational velocities in the Pleiades
- Entropic Forms and Related Algebras
- The relativistic statistical theory and Kaniadakis entropy: an approach through a molecular chaos hypothesis
- -Deformed quantum and classical mechanics for a system with position-dependent effective mass
- Composition law of -entropy for statistically independent systems
- A k-deformed Model of Growing Complex Networks with Fitness
- Analysis on hadron spectra in heavy-ion collisions with a new non-extensive approach