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 |