https://doi.org/10.1140/epjb/e2020-100606-8
Regular Article
Bivariate superstatistics based on generalized gamma distribution
1
Departamento de Estadística, Facultad de Ciencias, Universidad del Bío-Bío,
Concepción, Chile
2
Instituto de Investigación Multidisciplinario en Ciencia y Tecnología, Universidad de La Serena,
La Serena, Chile
a e-mail: chcaaman@ubiobio.cl
Received:
17
December
2019
Received in final form:
1
February
2020
Published online: 4 March 2020
The univariate gamma (chi-squared) superstatistics has been used in several applications by assuming independence between systems. However, in some cases it seems more reasonable to consider a dependence structure. This fact motivates the introduction of a family of bivariate superstatistics based on an extension of the gamma distribution, defined by generalized hypergeometric functions. The particular cases include Boltzmann and other statistical weighting factors in the literature. Numerical illustrations show the behaviour of the proposed superstatistics.
Key words: Statistical and Nonlinear Physics
© EDP Sciences / Società Italiana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature, 2020