Bimodal and Multimodal Extensions of the Normal and Skew Normal Distributions
Abstrak
A transformation of a density function is introduced to derive two families of continuous densities, the first symmetric and the second not-necessarily symmetric, exhibiting both unimodality and bimodality. Their respective density functions are provided in closed form, allowing us to simply obtain moments and related quantities. We focus on the case where the normal distribution is considered, although it can be applied to other models, such as the logistic and Cauchy distributions. This transformation is also extended to derive a family of asymmetric unimodal and bimodal distributions via Azzalini’s scheme. An example related to environmental science illustrate these models’ practical performance.
Topik & Kata Kunci
Penulis (3)
Emilio Gómez-Déniz
Enrique Calderín-Ojeda
José M. Sarabia
Akses Cepat
- Tahun Terbit
- 2025
- Sumber Database
- DOAJ
- DOI
- 10.57805/revstat.v23i2.563
- Akses
- Open Access ✓