An Asymmetric Bimodal Double Regression Model

Venegas, Osvaldo

Abstract

In this paper, we introduce an extension of the sinh Cauchy distribution including a double regression model for both the quantile and scale parameters. This model can assume different shapes: unimodal or bimodal, symmetric or asymmetric. We discuss some properties of the model and perform a simulation study in order to assess the performance of the maximum likelihood estimators in finite samples. A real data application is also presented.

Más información

Título según WOS: An Asymmetric Bimodal Double Regression Model
Título de la Revista: SYMMETRY-BASEL
Volumen: 13
Número: 12
Editorial: MDPI
Fecha de publicación: 2021
DOI:

10.3390/sym13122279

Notas: ISI