Bimodal Regression Model

Fuente: Redalyc
Salvato in:
Dettagli Bibliografici
Autore principale: Guillermo Martínez-Flórez
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2017
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1876452504310382592
author Guillermo Martínez-Flórez
author_facet Guillermo Martínez-Flórez
contents Bimodal Regression Model Guillermo Martínez-Flórez Hugo S. Salinas Heleno Bolfarine Física, Astronomía y Matemáticas Lin ear Regression Bimodal Distribution Power Regression Model Generalized Gaussian Distribution Regression analysis is a technique widely used in different areas of hu- man knowledge, with distinct distributions for the error term. It is the case, however, that regression models with the error term following a bimodal distribution are not common in the literature, perhaps due to the lack of simple to deal with bimodal error distributions. In this paper, we propose a simple to deal with bimodal regression model with a symmetric-asymmetric distribution for the error term for which for some values of the shape pa- rameter it can be bimodal. This new distribution contains the normal and skew-normal as special cases. A real data application reveals that the new model can be extremely useful in such situations. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526005 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40
format Artículo científico
id redalyc_89949526005
institution Redalyc
language en
publishDate 2017
publisher Universidad Nacional de Colombia
spellingShingle Bimodal Regression Model
Guillermo Martínez-Flórez
Física, Astronomía y Matemáticas
Lin
ear Regression
Bimodal Distribution
Power Regression Model
Generalized Gaussian Distribution
Bimodal Regression Model Guillermo Martínez-Flórez Hugo S. Salinas Heleno Bolfarine Física, Astronomía y Matemáticas Lin ear Regression Bimodal Distribution Power Regression Model Generalized Gaussian Distribution Regression analysis is a technique widely used in different areas of hu- man knowledge, with distinct distributions for the error term. It is the case, however, that regression models with the error term following a bimodal distribution are not common in the literature, perhaps due to the lack of simple to deal with bimodal error distributions. In this paper, we propose a simple to deal with bimodal regression model with a symmetric-asymmetric distribution for the error term for which for some values of the shape pa- rameter it can be bimodal. This new distribution contains the normal and skew-normal as special cases. A real data application reveals that the new model can be extremely useful in such situations. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526005 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40
title Bimodal Regression Model
topic Física, Astronomía y Matemáticas
Lin
ear Regression
Bimodal Distribution
Power Regression Model
Generalized Gaussian Distribution
url https://www.redalyc.org/articulo.oa?id=89949526005