The Poisson-exponential lifetime distribution
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
18/10/2012
18/10/2012
2011
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Resumo |
In this paper we proposed a new two-parameters lifetime distribution with increasing failure rate. The new distribution arises on a latent complementary risk problem base. The properties of the proposed distribution are discussed, including a formal proof of its probability density function and explicit algebraic formulae for its reliability and failure rate functions, quantiles and moments, including the mean and variance. A simple EM-type algorithm for iteratively computing maximum likelihood estimates is presented. The Fisher information matrix is derived analytically in order to obtaining the asymptotic covariance matrix. The methodology is illustrated on a real data set. (C) 2010 Elsevier B.V. All rights reserved. Brazilian organization CNPq |
Identificador |
COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.55, n.1, p.677-686, 2011 0167-9473 http://producao.usp.br/handle/BDPI/18777 10.1016/j.csda.2010.05.033 |
Idioma(s) |
eng |
Publicador |
ELSEVIER SCIENCE BV |
Relação |
Computational Statistics & Data Analysis |
Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
Palavras-Chave | #Complementary risks #EM algorithm #Exponential distribution #Poisson distribution #Survival analysis #COMPETING RISKS MODEL #MISSING CAUSE #EM ALGORITHM #FAILURE #LIKELIHOOD #Computer Science, Interdisciplinary Applications #Statistics & Probability |
Tipo |
article original article publishedVersion |