Skew-symmetric generalized normal and generalized t distributions

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Authors

Rad, Najmeh Nakhaei
Salehi, Mahdi
Mehrali, Yaser
Chen, Ding-Geng (Din)

Journal Title

Journal ISSN

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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.

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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'.

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

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.