Generalized beta-generated distributions


Autoria(s): Alexander, Carol; Cordeiro, Gauss M.; Ortega, Edwin Moises Marcos; Maria Sarabia, Jose
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

01/11/2013

01/11/2013

2012

Resumo

This article introduces generalized beta-generated (GBG) distributions. Sub-models include all classical beta-generated, Kumaraswamy-generated and exponentiated distributions. They are maximum entropy distributions under three intuitive conditions, which show that the classical beta generator skewness parameters only control tail entropy and an additional shape parameter is needed to add entropy to the centre of the parent distribution. This parameter controls skewness without necessarily differentiating tail weights. The GBG class also has tractable properties: we present various expansions for moments, generating function and quantiles. The model parameters are estimated by maximum likelihood and the usefulness of the new class is illustrated by means of some real data sets. (c) 2011 Elsevier B.V. All rights reserved.

Ministerio de Educacion of Spain [PR2009-0200, ECO2010-15455]

Ministerio de Educacion of Spain

CNPq-Brazil

CNPq (Brazil)

Identificador

COMPUTATIONAL STATISTICS & DATA ANALYSIS, AMSTERDAM, v. 56, n. 6, supl. 1, Part 6, pp. 1880-1897, JUN, 2012

0167-9473

http://www.producao.usp.br/handle/BDPI/37373

10.1016/j.csda.2011.11.015

http://dx.doi.org/10.1016/j.csda.2011.11.015

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

AMSTERDAM

Relação

COMPUTATIONAL STATISTICS & DATA ANALYSIS

Direitos

closedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #ENTROPY #EXPONENTIATED #KUMARASWAMY #KURTOSIS #MCDONALD #MINIMAX #SKEWNESS #EXPONENTIATED WEIBULL DISTRIBUTION #ORDER-STATISTICS #MULTIVARIATE DISTRIBUTIONS #UNIVARIATE DISTRIBUTIONS #T-DISTRIBUTION #FAMILY #MOMENTS #COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS #STATISTICS & PROBABILITY
Tipo

article

original article

publishedVersion