An Asymmetric Bimodal Double Regression Model
Date Issued
2021
Author(s)
Gomez, Yolanda M.
Gallardo, Diego I.
Venegas, Osvaldo
Magalhaes, Tiago M.
DOI
http://dx.doi.org/10.3390/sym13122279
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.


