An Asymmetric Bimodal Double Regression Model
Date Issued
2021
Author(s)
Gomez, Yolanda M.
Gallardo, Diego I.
Venegas, Osvaldo
Magalhaes, Tiago M.
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.


