Asymmetric Regression Models Bernoulli/Log Proportional Hazard Distribution

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1. Verfasser: Guillermo Martínez-Flórez
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidad Nacional de Colombia 2014
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author Guillermo Martínez-Flórez
author_facet Guillermo Martínez-Flórez
contents Asymmetric Regression Models Bernoulli/Log Proportional Hazard Distribution Guillermo Martínez-Flórez Carlos Barrera Física, Astronomía y Matemáticas Censoring Proportional hazard Fisher information matrix Maximum likelihood estimators In this paper we introduce a kind of asymmetric distribution for nonnegative data called log-proportional hazard distribution (LPHF). This new distribution is used to study an asymmetrical regression model for data with limited responses (censored) through the mixture of a Bernoulli distribution with logit link and the LPHF distribution. Properties of the LPHF distribution are studied, maximum likelihood parameter estimation and information matrices are addressed. An illustration with real data shows that the model is a new alternative for studies with positive data censored. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89931327012 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.37
format Artículo científico
id redalyc_89931327012
institution Redalyc
language en
publishDate 2014
publisher Universidad Nacional de Colombia
spellingShingle Asymmetric Regression Models Bernoulli/Log Proportional Hazard Distribution
Guillermo Martínez-Flórez
Física, Astronomía y Matemáticas
Censoring
Proportional hazard
Fisher information matrix
Maximum likelihood estimators
Asymmetric Regression Models Bernoulli/Log Proportional Hazard Distribution Guillermo Martínez-Flórez Carlos Barrera Física, Astronomía y Matemáticas Censoring Proportional hazard Fisher information matrix Maximum likelihood estimators In this paper we introduce a kind of asymmetric distribution for nonnegative data called log-proportional hazard distribution (LPHF). This new distribution is used to study an asymmetrical regression model for data with limited responses (censored) through the mixture of a Bernoulli distribution with logit link and the LPHF distribution. Properties of the LPHF distribution are studied, maximum likelihood parameter estimation and information matrices are addressed. An illustration with real data shows that the model is a new alternative for studies with positive data censored. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89931327012 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.37
title Asymmetric Regression Models Bernoulli/Log Proportional Hazard Distribution
topic Física, Astronomía y Matemáticas
Censoring
Proportional hazard
Fisher information matrix
Maximum likelihood estimators
url https://www.redalyc.org/articulo.oa?id=89931327012