English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In order to model the income data, the physical distributions of Fermi-Dirac and Bose-Einstein families have already been proposed in the literature. In this study, we generalize Fermi-Dirac distribution by using a  q,p -deformed version of Fermi-Dirac distribution which provides the advantage of working with flexible free  q, p  deformation parameters as the regression parameters for modeling the income data. We analyze the accuracy of the generalized version,  q,p -deformed Fermi-Dirac distribution, on describing the data of income share held by quintiles for countries, and household income for the states of U.S.A. in 2018. We also useminimization routine for modeling the data which leads to the best fit parameters for the deformation parameters  q  and  p . Subsequently, we plot the fitted  q,p -deformed Fermi-Dirac distribution as income distribution with the obtained deformation parameters, then find the statistical confidence valuesfrom the fitted curve. We figure out that our model properly describes the income data for the systems experiencing a high level of income inequality, and alsovalues are correlated with the Gini index for those of considered systems.

Sociophysics of income distributions modeled by deformed fermi-dirac distributions