Skew-symmetric generalized normal and generalized t distributions
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Date
Authors
Rad, Najmeh Nakhaei
Salehi, Mahdi
Mehrali, Yaser
Chen, Ding-Geng (Din)
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
In this paper, we introduce the skew-symmetric generalized normal and the skewsymmetric generalized t distributions, which are skewed extensions of symmetric special cases
of generalized skew-normal and generalized skew-t distributions, respectively. We derive key distributional properties for these new distributions, including a recurrence relation and an explicit
form for the cumulative distribution function (cdf) of the skew-symmetric generalized t distribution.
Numerical examples including a simulation study and a real data analysis are presented to illustrate
the practical applicability of these distributions.
Description
DATA AVAILABITY STATEMENT: Data are contained within the article.
This article forms part of a special Issue titled 'Methods and Applications of Advanced Statistical Analysis, 2nd Edition'.
This article forms part of a special Issue titled 'Methods and Applications of Advanced Statistical Analysis, 2nd Edition'.
Keywords
Skew-normal distribution, Skew-t distribution, Generalized skew-normal distribution, Generalized skew-t distribution, Skew-symmetric distributions, Recurrence relations, SDG-04: Quality education, SDG-09: Industry, innovation and infrastructure
Sustainable Development Goals
SDG-04:Quality Education
SDG-09: Industry, innovation and infrastructure
SDG-09: Industry, innovation and infrastructure
Citation
Nakhaei Rad, N.; Salehi, M.; Mehrali, Y.; Chen, D.-G. SkewSymmetric Generalized Normal and Generalized t Distributions. Axioms 2024, 13, 782. https://doi.org/10.3390/axioms13110782.
