An Asymmetric Bimodal Double Regression Model
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 |