Skew-Symmetric Generalized Normal and Generalized t Distributions
In this paper, we introduce the skew-symmetric generalized normal and the skew-symmetric 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.
Authors
- Ding‐Geng Chen (ORCID: https://orcid.org/0000-0002-3199-8665)
- Mahdi Salehi (ORCID: https://orcid.org/0000-0002-0620-0340)
- Yaser Mehrali (ORCID: https://orcid.org/0000-0002-7234-9039)
- Najmeh Nakhaei Rad (ORCID: https://orcid.org/0000-0002-7831-5614)
Institutions
- University of Neyshabur (IR)
- Arizona State University (US)
- University of Pretoria (ZA)
Publication Details
- Journal
- Axioms
- Published
- 2024-11-13
- DOI
- https://doi.org/10.3390/axioms13110782
- Citations
- 1
- Primary Topic
- Statistical Distribution Estimation and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- National Research Foundation
- University of Pretoria
- Department of Science and Technology, Ministry of Science and Technology, India
- Medical Research Council