The Poisson-exponential lifetime distribution
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
27/05/2014
27/05/2014
01/01/2011
|
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. © 2010 Elsevier B.V. All rights reserved. |
Formato |
677-686 |
Identificador |
http://dx.doi.org/10.1016/j.csda.2010.05.033 Computational Statistics and Data Analysis, v. 55, n. 1, p. 677-686, 2011. 0167-9473 http://hdl.handle.net/11449/72247 10.1016/j.csda.2010.05.033 2-s2.0-77958039812 |
Idioma(s) |
eng |
Relação |
Computational Statistics and Data Analysis |
Direitos |
closedAccess |
Palavras-Chave | #Complementary risks #EM algorithm #Exponential distribution #Poisson distribution #Survival analysis #Asymptotic covariance matrix #Data sets #EM algorithms #Exponential distributions #Failure rate functions #Formal proofs #Increasing failure rate #Life-time distribution #Maximum likelihood estimate #Algorithms #Bioinformatics #Covariance matrix #Distribution functions #Fisher information matrix #Maximum likelihood estimation #Probability #Probability density function #Risk analysis #Risk assessment |
Tipo |
info:eu-repo/semantics/article |