Generalized Skew Flexible Normal Distributions with Applications
Abstract Based on previous research featuring generalized distributions, we propose an extension to both generalized skew normal distributions introduced [14] and skew flexible normal distributions proposed by Gómez et al. [9]. The properties of this family of distributions are explored, and the parameters are estimated using the maximum likelihood method. Two simulation studies are conducted, along with two real data examples, to demonstrate the primary findings.
Authors
- S. T. Boris Choy (ORCID: https://orcid.org/0000-0002-6861-6974)
- Xiangfei Chen (ORCID: https://orcid.org/0000-0001-5826-5472)
- David Trafimow (ORCID: https://orcid.org/0000-0002-0788-8044)
- Tingting Tong
- Cong Wang (ORCID: https://orcid.org/0000-0002-2504-4056)
Institutions
- New Mexico State University (US)
- University of Nebraska at Omaha (US)
- The University of Sydney (AU)
- College of Charleston (US)
Publication Details
- Journal
- Journal of Statistical Theory and Practice
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1007/s42519-025-00453-3
- Citations
- 1
- Primary Topic
- Statistical Distribution Estimation and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.63
Funders
- College of Charleston