Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/63828
Title: An asymmetric bimodal distribution with application to quantile regression
Authors: Gomez, Yolanda M.
Gómez Déniz, Emilio 
Venegas, Osvaldo
Gallardo, Diego, I
Gomez, Hector W.
UNESCO Clasification: 5302 Econometría
Keywords: Econometría
Distribución asimétrica bimodal
Issue Date: 2019
Journal: Symmetry 
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.
URI: http://hdl.handle.net/10553/63828
ISSN: 2073-8994
DOI: 10.3390/sym11070899
Source: Symmetry [ISSN 2073-8994], v. 11 (9), p. 899
Appears in Collections:Artículos
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