Univariate and Bivariate Models Related to the Generalized Epsilon-Skew-Cauchy Distribution
Abstract
In this paper, we consider a stochastic representation of the epsilon-skew-Cauchy distribution, viewed as a member of the family of skewed distributions discussed in Arellano-Valle et al. (2005). The stochastic representation facilitates derivation of distributional properties of the model. In addition, we introduce symmetric and asymmetric extensions of the Cauchy distribution, together with an extension of the epsilon-skew-Cauchy distribution. Multivariate versions of these distributions can be envisioned. Bivariate examples are discussed in some detail.
Más información
Título según WOS: | Univariate and Bivariate Models Related to the Generalized Epsilon-Skew-Cauchy Distribution |
Título según SCOPUS: | Univariate and bivariate models related to the generalized epsilon-skew-Cauchy distribution |
Título de la Revista: | SYMMETRY-BASEL |
Volumen: | 11 |
Número: | 6 |
Editorial: | MDPI |
Fecha de publicación: | 2019 |
Idioma: | English |
DOI: |
10.3390/sym11060794 |
Notas: | ISI, SCOPUS |