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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72247
Title: 
The Poisson-exponential lifetime distribution
Author(s): 
Institution: 
  • Universidade de São Paulo (USP)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0167-9473
Abstract: 
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.
Issue Date: 
1-Jan-2011
Citation: 
Computational Statistics and Data Analysis, v. 55, n. 1, p. 677-686, 2011.
Time Duration: 
677-686
Keywords: 
  • 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
Source: 
http://dx.doi.org/10.1016/j.csda.2010.05.033
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/72247
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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