Work

Pathway Model and Nonextensive Statistical Mechanics

Year: 2010
Type: preprint
Abstract: The established technique of eliminating upper or lower parameters in a general hypergeometric series is profitably exploited to create pathways among confluent hypergeometric functions, binomial functions, Bessel functions, and exponential series. One such pathway, from the mathematical statistics point of view, results in distributions which naturally emerge within nonextensive statistical mechanics and Beck-Cohen superstatistics, as pursued in generalizations of Boltzmann-Gibbs statistics.
Language: English
Open Access status: green
OpenAlex ID: W1852478717
Cites: 50
Cited by: 7
Related to: 10