An Asymmetric Bimodal Distribution with Application to Quantile Regression

Abstract

In this article, we study an extension of the sinh Cauchy model in order to obtain asymmetric bimodality. The behavior of the distribution may be either unimodal or bimodal. We calculate its cumulative distribution function and use it to carry out quantile regression. We calculate the maximum likelihood estimators and carry out a simulation study. Two applications are analyzed based on real data to illustrate the flexibility of the distribution for modeling unimodal and bimodal data.

Más información

Título según WOS: An Asymmetric Bimodal Distribution with Application to Quantile Regression
Título según SCOPUS: An asymmetric bimodal distribution with application to quantile regression
Título de la Revista: SYMMETRY-BASEL
Volumen: 11
Número: 7
Editorial: MDPI
Fecha de publicación: 2019
Idioma: English
DOI:

10.3390/sym11070899

Notas: ISI, SCOPUS