Univariate and Bivariate Models Related to the Generalized Epsilon-Skew-Cauchy Distribution

Arnold B.C.; Gómez H.W.; Varela H.; Vidal I.

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